• Regeln für den Video-Bereich:

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    Aufbau des Angebots und Threadtitel

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    Beispiel: The Dark Knight German 2008 AC3 DVDRip XviD - iND
    Beispiel: The Dark Knight 2008 DTS DL BDRip x264 - iND
    Beispiel: The Dark Knight 2008 AC3 DL BDRip XviD - iND
    Beispiel: The Dark Knight German 2008 AC3 720p BluRay x264 iND
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    Beispiel: Die Simpsons S01 German AC3 DVDRip XviD iND
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    Ausnahmen hiervon können in den Bereichen geregelt sein.

    Die Beiträge sollen wie folgt aufgebaut werden:
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    Cover
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    Quelle
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    Untertitel (sofern vorhanden)
    Hosterangabe in Textform außerhalb eines Spoiler mit allen enthaltenen Hostern.
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    Alle benötigten Passwörter sind, sofern vorhanden, in Textform im Angebot anzugeben.
    Spoiler im Spoiler mit Kommentaren :"Schon Bedankt?" sind unerwünscht.


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    - Gleiche Releases sind unbedingt zusammenzufassen. Das bedeutet, es ist zwingend erforderlich, vor dem Erstellen eines Themas per Suchfunktion zu überprüfen, ob bereits ein Beitrag mit demselben Release besteht. Ist dies der Fall, ist der bereits vorhandene Beitrag zu verwenden.
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The Complete Russian Language Course
Last updated 12/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 27h 13m | Size: 8.5 GB

Three courses in One: A1, A2 and B1! For beginners and intermediate learners. Start speaking real Russian today!



What you'll learn
Russian Language from basic to advanced
The complete Russian language grammar
More than 3000 words and phrases
Covers grammar and vocabulary from A1, A2 and B1 levels!

Requirements
No prior requirements

Description
Hello and welcome to the Complete Russian Language Course!First of all let me give you a huge congratulations on making the decision to start learning Russian. My name is Yelena and 5 years ago I started learning the Russian language from zero. After only 3 months I was able to lead a decent conversation nearly in any everyday situation. After 8 months I was able to understand 95% of the language and became fluent in Russian. I'm here to help you do the same.Learning a foreign language is a process which requires dedication, time and a lot of practice. Remember that regularity is the key, so make sure to keep the streak and dedicate a couple of minutes every day to finish at least one lesson of the course.In case you have any questions regarding this course or if you require any further explanation, I have created a community Facebook page where you can post all of your questions and get prompt answer from me, personally.This course consists of 7 sections each of them covering a different topic. You will be gradually introduced to Russian grammar. Every time you start a new grammar topic you will be given straight-to-the-point summarised information which will help you structure the knowledge in your head and place the learned portion on the correct place in the puzzle. You don't need to know everything in order to become fluent in Russian, all you need to know is to build the base correctly and that is exactly what this course will help you do!Additionally, each of the sections includes PDF vocabulary lists with more than 3000 words in total! The words are split according to the lessons which makes it much easier to find them. You will also find many exercises which will help you test your progress. And as a BONUS, I have included a simplified cheat sheet of the COMPLETE Russian grammar, a full list of irregular verbs and a workbook with exercises.The course you are about to start is a result of a dedicated work over the past 12 months and I am constantly working on improving it in order to make your studying easier and more effective. The best thing is that this course comes with a LIFETIME ACCESS to ALL of the materials including ALL FUTURE UPDATES! Remember that my purpose here is to make this course beneficial for you and I will do my best to help you achieve your goal! I am very happy to have you onboard and I hope that you will enjoy this journey!With love,Yelena

Who this course is for
Beginner and intermediate Russian learners
Foreign students enrolling at Russian universities
Anyone preparing for a Russian language examination
Foreigners travelling or working in Russia willing to improve their Russian language skills
Anyone interested in the Russian language and culture


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Hack Your Life - Step by Step Guide to Unleashing a New You
WEBRip | MP4 | English | 1280 x 720 | AVC ~108 kbps | 30 fps
AAC ~56.8 Kbps | 44.1 KHz | 2 channels | ~15 hours | 1.3 GB
Genre: eLearning Video / Personal Growth, Relationships

A world explorer's secrets to designing, financing and surviving a life of rewarding travel, languages and relationships

Feeling stuck in life, and not knowing what to do next sucks. Especially if you are successful by society's standards, but feel unfulfilled and unhappy on the inside.

If you yearn to travel the world, learn new languages, meet new people and go on amazing adventures, you have to learn how to set personally meaningful goals, and go after them with a laser like focus.

You need to learn how to plan your travel, manage your finances, deal with stress and anxiety when you put yourself in unusual situations, and do all this without going insane.

This course is your guide to accomplishing these personally meaningful goals, and not worry about what other people think. It took me 5 years in the school of hard knocks to learn all these lessons. But you don't have to go through the same. I hope this course will help unleash a new you the moment you start applying the lessons I teach within.



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Generative AI (basic to advanced)
Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 46h 36m | Size: 21.2 GB

Learn how Generative AI models are revolutionizing content, code, innovation using prompt engineering & real-world tech.



What you'll learn
Understand what Generative AI is and how it works
Learn different types of generative models (GANs, VAEs, Transformers, etc.)
Explore how GenAI can generate text, images, audio, and video
Build and train basic generative models from scratch
Use pre-trained models like GPT and DALL·E for real-world tasks
Practice prompt engineering to get better results from AI models
Learn how to fine-tune models for specific use cases
Build GenAI applications like chatbots, content creators, and art generators
Understand the risks, ethics, and responsible use of GenAI

Requirements
Enthusiasm and determination to make your mark on the world!

Description
A warm welcome to the Generative AI (basic to advanced) course by Uplatz.Generative AI (Generative Artificial Intelligence) refers to a type of artificial intelligence that is capable of creating new content-such as text, images, audio, code, and more-rather than simply analyzing existing data. It mimics human creativity by learning from large datasets and generating outputs that resemble original, human-made content.What It DoesTraditional AI systems are good at recognizing patterns or making predictions based on existing data. Generative AI goes a step further by actually producing new data that didn't exist before. For example:Writing articles or storiesCreating images or artworkComposing musicWriting codeDesigning products or layoutsHow It WorksGenerative AI typically relies on advanced machine learning techniques, especially deep learning models such as:Transformers - used in models like GPT (text) or T5Diffusion models - used in image generation (like DALL·E or Stable Diffusion)GANs (Generative Adversarial Networks) - used for creating realistic mediaHere's a simplified breakdown of the process:TrainingThe model is trained on massive datasets (e.g., books, websites, images, code).It learns statistical patterns, styles, and relationships in the data.Learning ProbabilitiesInstead of memorizing, the model learns the probability of what should come next in a sequence (next word, next pixel, etc.).Generation (Inference)When you give it a prompt, it generates new content based on what it has learned.For instance, if you type a sentence, a text model will complete it or write a full article.If you input a concept, an image model can generate an image matching that description.Fine-TuningThe base model can be refined using reinforcement learning or task-specific data to make it more accurate, aligned, or safer.Common Applications of Generative AIText GenerationWriting articles, blogs, and essaysDrafting emails and messagesSummarizing long documentsTranslating languagesAnswering questions or tutoringImage GenerationCreating digital art and illustrationsGenerating product mockups and logosDesigning ads, posters, and visual contentStyle transfer and photo editingCode GenerationAuto-completing codeGenerating boilerplate scriptsFixing bugs and refactoring codeExplaining code snippetsAudio and MusicComposing original musicGenerating voiceovers or speechProducing sound effectsVoice cloning and enhancementVideo GenerationCreating short films and animationsGenerating explainer videosVideo summarizationScene-to-video synthesis3D Modeling and DesignGenerating 3D objects and environmentsDesigning virtual products or architectureGame asset creationGamingProcedural content and level generationNPC (non-player character) behavior scriptingDialogue generationFashion and Product DesignDesigning apparel and accessoriesCreating virtual try-onsGenerating custom product variantsEducationPersonalized tutoring and explanationsQuiz and flashcard generationAdaptive learning contentMarketing and AdvertisingWriting ad copy and taglinesCreating personalized campaignsDesigning social media postsLegal and ComplianceDrafting legal documentsReviewing and summarizing policiesIdentifying contract risksHealthcare and BiotechGenerating radiology and diagnostic reportsSimulating molecular structuresSummarizing patient recordsCustomer SupportChatbots for FAQs and ticket handlingEmail and chat summarizationResponse recommendationFinanceAutomating financial reportsAnalyzing and summarizing earnings callsDetecting unusual financial patternsBenefitsRapid content generationPersonalized or on-demand outputsAutomation of creative and technical tasksSupport for brainstorming and ideationTime and cost efficiency for businessesChallenges and RisksMay generate incorrect or misleading contentCan reflect biases from the training dataRisk of misuse for fake content or misinformationComputational and environmental costsRequires careful monitoring and human validation

Who this course is for
AI/ML Engineers - looking to build or fine-tune generative models
Software Developers - wanting to integrate GenAI into applications
Data Scientists - interested in advanced modeling and content generation
Tech Enthusiasts & Hobbyists - curious about AI tools like ChatGPT, Midjourney, DALL·E
Product Managers - aiming to understand capabilities and limitations of GenAI
Startup Founders & Innovators - exploring GenAI use cases and MVP development
Content Creators & Designers - who want to leverage AI for creative work
Researchers & Academics - studying generative models and their applications
Business Professionals - interested in using AI to improve workflows and automation
Students & Career Changers - who want to enter the AI field with hands-on GenAI skills



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Oracle Fusion Functional - Financials & SCM Masterclass
Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 150h 46m | Size: 58 GB

End-to-end Oracle Fusion Financials and SCM functional training for beginners and career changers



What you'll learn
Configure and manage Oracle Fusion Financials modules like Payables, Receivables, Fixed Assets, and General Ledger.
Set up and operate Oracle Fusion Supply Chain processes including Inventory, Purchasing, and Order Management.
Perform complete business flows like Procure-to-Pay (P2P) and Order-to-Cash (O2C) with real-world scenarios.
Use FBDI (File-Based Data Import) templates for mass data loading and transaction automation.
Build custom BI Publisher (BIP) reports and extract real-time data using Oracle reporting tools.
Set up ledger, legal entity, business units, and rapid implementation projects.
Understand Cash Management processes like bank reconciliation and statement uploads.
Handle expense management, delegation rules, and budget setup across cost centers.
Apply knowledge in practical implementation, support, or testing projects in Oracle Cloud.
Navigate and operate within the Fusion SaaS Cloud interface and FSM (Functional Setup Manager).
Gain skills relevant for job roles like Fusion Functional Consultant, Business Analyst, or ERP Support Specialist.

Requirements
No prior experience in Oracle Fusion is required - this course starts from the basics
Basic understanding of business processes like finance or supply chain is helpful, but not mandatory
Familiarity with Excel is useful for working with FBDI templates
A laptop or desktop with internet access to follow along with demos and practice exercises
Curiosity to learn ERP systems and a willingness to explore real-time scenarios

Description
Are you ready to build a career as an Oracle Fusion Functional Consultant? This comprehensive course is designed to help you master the key modules of Oracle Fusion Financials and Supply Chain Management (SCM) through real-world examples, practical configurations, and hands-on demonstrations.Whether you're a beginner looking to enter the ERP world or an experienced consultant aiming to upgrade your skills to the cloud, this course will provide a strong foundation in both Financials (AP, AR, GL, FA, CE) and SCM (Inventory, Purchasing, Order Management, etc.).You'll learn how to:perform functional setups step-by-step using Fusion applicationsHandle transactions like invoices, payments, receipts, and journal entriesUse tools like FBDI, ESS Jobs, BI Reports, and Approval WorkflowsManage supply chain operations from procurement to inventory controlUnderstand real-time business scenarios and how to implement them in FusionNo prior Fusion experience is needed. This course starts from scratch and gradually builds your confidence in navigating and configuring Oracle Cloud ERP.By the end of the course, you'll be equipped with the functional knowledge needed to work in implementation, support, or upgrade projects-and take the next step toward becoming a certified Oracle Fusion Consultant.ThanksBest WishesHope everyone will enjoy the Course

Who this course is for
Beginners who want to start a career as an Oracle Fusion Functional Consultant
Functional consultants from other ERP platforms (like Oracle EBS, SAP) transitioning to Oracle Fusion Cloud
Finance and supply chain professionals looking to understand Oracle ERP processes
Technical consultants or freshers aiming to move into functional or techno-functional roles
Job seekers and career changers entering the Oracle Cloud ecosystem with no prior experience
Anyone interested in learning end-to-end Oracle Fusion Financials and SCM with real-world scenarios


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Ultimate French Course 25+h: Learn easily Beginners-Advanced
Last updated 6/2025
Created by Rafael Camargo
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 174 Lectures ( 25h 7m ) | Size: 24.5 GB

Clear lessons on real-life dialogues - based on official textbook, with new content added regularly.



What you'll learn
The course offers a structured methodology based on an official textbook, ensuring effective and reliable learning.
Participants will learn French through everyday dialogues tailored to real-life situations
Learners will gain confidence to communicate in French at work, during travel, and in their personal lives.
Learners will improve their listening and reading comprehension with practical, concrete examples.
Participants will master essential grammar, vocabulary, and expressions presented in a clear and progressive way.

Requirements
The course starts from zero, so you don't need any prior knowledge of French.

Description
Hello,I'm Rafa, and I have a degree in engineering from Ecole Centrale Nantes in France. Today, I've been working in Paris as a Quantitative Analyst at a bank, and I also teach private French courses, which is the thing I most love doing.In this course, I use a method that is based on everyday dialogues, from a pedagogically organized textbook. For each dialogue, we will have the following lessons:Contextualization lesson in English. In this lesson, I read the dialogue in English to help us familiarize ourselves with the context and avoid getting lost in the upcoming lessons. PDF dialogues are provided.Dialogue comprehension lesson in French. In this lesson, I explain the dialogue in French, word by word! By the end of this lesson, you'll be able to understand the entire dialogue in French.Dialogue breakdown lesson. Here, I clarify all those little details of the language that appear in the dialogue.Reading practice lesson in French. I read the entire dialogue again in French. You can use this lesson to repeatedly listen and practice the dialogue, reinforcing new words.Grammar lesson. I explain French grammar in a simple and intuitive way. After all, it's not worth memorizing endless grammar rules that we'll never have time to recall when speaking or even writing in French, right?Vocabulary lesson. In this lesson, we learn new words related to the dialogue's context. For example, if the dialogue takes place in a clothing store, we'll cover vocabulary related to shopping and clothing.Idiomatic expressions lesson. Here, we learn expressions that native speakers love to use. For example: "How's it going?" or "Would you like anything else?"Practice exercises lesson. Now it's time to practice! At the end of each dialogue, you'll find some reinforcement exercises to ensure you've learned everything. And of course, all the answers are provided.See you in the course!Kind regards,Rafa

Who this course is for
The course is designed for anyone who wants to learn French, whether they have no prior knowledge or already have a basic understanding of the language.



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MindValley - Money EQ
Last updated 8/2025
By Ken Honda
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 21 Lessons ( 4h ) | Size: 11.3 GB

Money EQ: The little-known secret to a lifetime of abundance and prosperity. Join the 'Zen Millionaire' Ken Honda, Japan's most recognizable and influential money teacher to heal your money wounds, attract 'Happy Money' and retrain your brain with a step-by-step process anyone can learn to raise their emotional intelligence around money and get and STAY rich.

To the person searching for a life of greater wealth and prosperity
Why is there so much fear and drama surrounding money?
Why do most hardworking people struggle so hard to earn money?
And why are so many rich people unhappy?
If you're dealing with financial uncertainty, debt, or if you constantly feel you don't have enough to live your best life - then you may have asked questions just like these.
And you may have also noticed that simply working harder, fighting for a raise, or trying to save more aren't quite the perfect solutions.
According to Ken Honda, Japan's no. 1 money teacher, this is because most of us haven't been taught the single most important truth about money
Which is that everyone is programmed with a Money EQ that invisibly shapes our financial prosperity.
If your Money EQ is high, you have an excellent relationship with money - along with the abundance and peace of mind that comes with it. And the opposite is true if your Money EQ is low.
In this program, Ken guides you through his proven step-by-step process for understanding and raising your Money EQ - and permanently elevating not only your financial success, but your life.
Money EQ: The Little-Known Secret To A Lifetime Of Abundance & Prosperity
Your Money EQ is a reflection of your personal beliefs and thoughts about money. Your emotions when you think of money. And how your subconscious mind makes financial decisions on autopilot.
Just like how someone who neglects their emotional intelligence would struggle to reach their full potential, those who neglect their Money EQ just can't be sustainably and happily wealthy. Even if they work hard and make the right investments. And even if their conventional Money IQ is high.
Ken has perfected a step-by-step process anyone can follow to raise their Money EQ and permanently elevate not only their financial success, but their lives.
It's a process that has already transformed countless people worldwide. And now for the first time ever, he's brought that process to Mindvalley through the Money EQ program.
Once you begin the program, you'll discover that having a high Money EQ is not a gift or talent. It's a skill anyone can learn, by following the right steps to retrain the brain. And when you do this, you instantly start experiencing money and life in a whole new way
The Money EQ Program takes you on a 21-day journey towards elevating your Money EQ: and in turn, your finances and your life.
Divided into 3 weeks, the Program features daily guidance by Ken Honda himself, as he guides you through a series of daily training videos and exercises designed to transform your relationship with money.
By the end of the program, you'll experience lifelong changes to how you think about money. Your capacity to earn, multiply, invest, and give back money. And ultimately, how you harness money to create unshakable prosperity and peace of mind.


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TTC - Urban Legends Explained
Released 8/2025
By Sara Cleto, PhD and Brittany Warman, PhD
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12 Lessons ( 5h 23m ) | Size: 4.5 GB

Why do urban legends continue to thrive in our modern world? Explore the ways storytelling helps us face our fears, understand our own culture, and connect with each other.

Have you heard the story about the choking Doberman? You know, the one where the Doberman bit off the fingers of a man who had broken into the home-but the police didn't know about the crime until the dog coughed up the fingers at the vet? This is an urban legend, and if you haven't heard this particular story, you've certainly heard others like it. Is it true? Maybe, maybe not. The veracity is less important than what these stories tell us about ourselves, our emotions, and the world as we see it.

In the 12 fascinating lectures of Urban Legends Explained, you'll hear all types of stories that are being circulated right now, right where you live. Your professors, Dr. Sara Cleto and Dr. Brittany Warman, will share some of the wildest stories circulating now, maybe the wildest you've ever heard, and explain why we continue to tell them.

Urban legends are contemporary legends. They can be set in a downtown skyscraper, a suburban school, or on a deserted country road-anywhere really. But they are always

Current. These stories take place now or in the very recent past. If your neighbor down the street didn't report the story, your grandmother might have. They are part of the folklore of daily life-scary, silly, and sometimes dangerous.
Told as truth. Not everyone believes every urban legend they hear. But the people propagating the stories tell them as if they're either true or could be true. It's commonly assumed there's a reliable witness just a few people back, i.e. a "friend of a friend" or FOAF.
Human. Urban legends involve normal human beings having extraordinary encounters and experiences. They depict realistic events or alleged events with an eventual ironic, bizarre, or supernatural twist.
Humans are storytellers by nature. Urban legends, like all other legends, work to help create and maintain invaluable social connections.



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Ultimate Rag Bootcamp Using Langchain,Langgraph & Langsmith
Published 8/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 34.33 GB | Duration: 28h 3m

Build powerful RAG pipelines: Traditional, Advanced, Multimodal & Agentic AI with LangChain,LangGraph and Langsmith



What you'll learn
Build traditional RAG pipelines for accurate and efficient information retrieval.
Implement advanced retrieval methods like hybrid search, multimodal RAG, and persistent memory.
Design multi-agent and autonomous RAG systems using LangGraph for collaborative AI reasoning.
Use LangSmith for tracking, debugging, and optimizing RAG workflows in real-world projects.
Integrate LangSmith for tracking, debugging, and optimizing RAG performance.
Use vector databases like FAISS, Pinecone, and Weaviate efficiently.
Build domain-specific knowledge chatbots with hybrid search.
Develop multimodal AI assistants that process both text and images.

Requirements
Basic understanding of Python programming (variables, loops, functions).
No prior knowledge of RAG is required - everything will be taught from scratch.
Familiarity with AI concepts like LLMs is helpful
Basic Knowledge Of Langchain

Description
Unlock the Power of Retrieval-Augmented Generation (RAG) - From Traditional to Advanced Agentic AI SystemsIn today's AI-driven world, Retrieval-Augmented Generation (RAG) is one of the most impactful and in-demand techniques, powering everything from intelligent chatbots and personal assistants to automated research agents and enterprise AI systems.The Ultimate RAG Bootcamp is your complete, step-by-step guide to mastering RAG using the latest and most powerful tools - LangChain, LangGraph, and LangSmith. Whether you're an AI beginner or an experienced developer, this course takes you from the fundamentals of RAG pipelines all the way to advanced Agentic RAG architectures used in production by leading companies.Why This Course?Unlike other courses that only touch on basic RAG concepts, this bootcamp goes deeper. You will:Learn traditional RAG step-by-step.Master advanced retrieval strategies like hybrid search, vector optimization, and multimodal RAG.Implement multi-agent, autonomous AI pipelines that can think, plan, and act collaboratively.Use LangSmith for experiment tracking, debugging, and performance optimization.Build real-world, deployable AI applications from start to finish.By the end, you won't just understand RAG - you'll be able to design, optimize, and deploy advanced AI systems for real-world scenarios.What You'll Learn1. RAG FoundationsWhat RAG is and why it matters.Traditional RAG architecture: data ingestion, parsing, embeddings, and retrieval.Choosing and using vector databases effectively.Building retrieval + generation workflows with LangChain.2. Advanced RAG TechniquesAdvanced chunking strategies for precision retrieval.Hybrid search: combining vector and keyword search.Multimodal RAG for text, images, and more.Persistent memory for context retention.Self-RAG for improving retrieval quality.Adaptive & Corrective RAG for dynamic and error-resistant pipelines.3. Agentic RAG PipelinesMulti-agent architectures with LangGraph.Designing agents for research, summarization, and decision-making.Autonomous RAG with minimal human intervention.Collaborative AI reasoning with specialized agents.4. LangSmith for RAG Evaluation & OptimizationTracking and managing RAG experiments.Debugging retrieval pipelines and fixing bottlenecks.Running evaluation metrics to boost accuracy.5. Real-World RAG ProjectsChatbot with domain-specific knowledge.Multi-agent research assistant for automated reports.Multimodal AI assistant with text and image retrieval.Deploying RAG applications to the cloud.Who This Course Is ForAI developers & machine learning engineers.Data scientists integrating retrieval systems.Software developers building intelligent assistants.Researchers exploring advanced RAG workflows.Anyone aiming to master RAG from scratch to production-ready deployment.Tools & Frameworks You'll MasterLangChain - Build modular RAG pipelines.LangGraph - Create advanced agent-based workflows with memory.LangSmith - Track, debug, and evaluate RAG systems.Vector Databases - FAISS, Pinecone, Weaviate, and more.Cloud Deployment - Take AI apps from development to production.Your Learning JourneyUnderstand RAG fundamentals.Build real-world retrieval pipelines.Advance to agentic and autonomous AI systems.Deploy and monitor in production.Optimize for continuous improvement.RAG is more than just an AI trend - it's the foundation of intelligent, context-aware applications.By the end of this bootcamp, you'll have hands-on, production-ready skills to build and deploy cutting-edge RAG pipelines with LangChain, LangGraph, and LangSmith.Join the Ultimate RAG Bootcamp today - and start building AI systems that truly understand, reason, and deliver results.

AI developers & ML engineers who want to master RAG from basics to advanced agentic systems.,Data scientists aiming to integrate retrieval systems into AI workflows.,Software developers building intelligent assistants, chatbots, or research tools.,Researchers exploring advanced RAG workflows and multi-agent AI pipelines.,AI enthusiasts & beginners who want a hands-on, step-by-step approach to RAG without prior experience.


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TTC - A New History of Life
Last updated 7/2025
By Professor Stuart Sutherland - The University of British Columbia
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 36 Lessons ( 17h 50m ) | Size: 15 GB

Learn the history of life in a dramatic new way with this fascinating course that draws upon biology, earth science, and other disciplines to explain life's mysterious origins.

The story of our world and the different living things that have populated it is an amazing epic with millions of species, exotic settings, planet-wide cataclysms, and surprising plot twists. These 36 lectures tell the all-embracing story of life on Earth - its origins, extinctions, and evolutions - in a manner that assumes no background in science. At half an hour per lecture, you'll cover the entire 4.54-billion-year history of Earth in 18 hours, averaging 70,000 years per second! Professor Sutherland notes that if the story of Earth is compared to the height of the Washington Monument, then all of human history is the thickness of a sheet of paper balanced at the top. He devotes most of these lectures to the incredible happenings beneath that piece of paper, including stirring episodes such as Earth's "snowball" phase, which should have been permanent according to some theories; the Cambrian explosion, after which life's complexity soared in an explosion of genetic diversification; and the age of giant insects, where dragonflies had 30-inch wingspans and cockroaches reached 20 inches in length. By the time you reach the origin of humans in Lecture 35, you'll appreciate our species in the widest possible context. Why does the Earth have continents? What causes periodic mass extinctions? How did animals move from water to land? What are the oldest fossils? Experience the thrill of scientists searching for answers to questions such as these.



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Python Programming Mastery: From Beginner to Expert by Odulaja Philip Temitayo
Last updated 1/2025
Created by Odulaja Philip Temitayo
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 294 Lectures ( 63h 36m ) | Size: 36.4 GB

Unlock the Full Potential of Python with Comprehensive Hands-On Training! Regex, Json, Data science, Flet and more



What you'll learn
Major and difficult python concepts would be explained using nice slides and presentation for easier assimilation
You will master the Python programming language by solving coding challenges and building projects.
Build a complete understanding of Python from the ground up!
Build Web and desktop Applications Using Flet Framework
Learn to use Object Oriented Programming with classes!
Learn how to work with APIs and understand Authentication
You will master Python regex and be able to read, write & understand any regex pattern
Learn to write professional and compact code with Python comprehension
Learn how to schedule Emails with Python Datetime module
Solve Python Codewars Challenges and get familiar with coding interviews

Requirements
No programming experience needed - I'll teach you everything you need to know
No paid software required - I'll teach you how to use VsCode, Anaconda and more !
I'll walk you through, step-by-step how to get all the software installed and set up
A Mac or PC computer with access to the internet

Description
Welcome to the Python Programming Mastery: From Beginner to Expert - The course you need to learn to code with Python The course is Structured to help you kick-start your career as a python developer even if you are a complete beginnner;At 62+ hours, this Python course is without a doubt a very comprehensive and beginner-friendly Python course. Even if you have zero programming experience, this course will take you from beginner to professional.We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.The course includes over 62 hours of HD video tutorials and builds your programming knowledge while making real-world Python projects.Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:python 3 - the latest version of PythonPython Scripting Data SciencePandasNumpyMatplotlibFlet Framework (Flutter)RequestRegex (Regular Expression)Json API IntegrationChatGPT APIGit, GitHub and Version Controland much much more!By the end of this course, you will be fluently programming in Python and you'll be so good at Python that you can get a job or use the language professionally.You'll also build a projects that you can show off to any potential employer. Including:Build Web, mobile and Desktop Applications using Flet frameworkLearn and Understanding Object Oriented Programming with PythonAutomate Sending Emails using SMTPlibSolve Python CodeWars Challenges and get familiar with Coding interviewsand much much more!Sign up today, and look forward to:Video LecturesCode Challenges and ExercisesFully Fledged ProjectsDownloads"With consistency, everyone can be a pro"Join me today and learn Python Programming to its fullest with hands on experience.

Who this course is for
If you want to learn to code from scratch through building fun and useful projects, then take this course.
If you are a complete beginner then this course will be everything you need to become a Python professional
If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects.

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The Complete French Course : Learn French - Beginners
Last updated 11/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 19.20 GB | Duration: 16h 48m

French Language for Beginners (A0 > A2). French speaking, listening, grammar, reading, vocabulary with a native teacher.



What you'll learn
Master the basics of French for good !
Start to speak real French confidently. (A2 level)
Build and develop the practical communication skills in French : Speaking, Listening, Reading and Writing.
Be confident regarding your French skills, use and understand everyday expressions.
Express yourself with ease on familiar topics.
Learn grammar and vocabulary with fun explanations and exercises.

Requirements
You don't need any prior knowledge to start this course.
The course is recommended to anyone who wants to learn French in a fast and efficient way.
It's in French, don't worry : Immersion is the best method of learning a language.
Native French speaking teacher with perfect accent.

Description
Bonjour à tous ! My name is Yohann and I will help you learn our beautiful French language. This first course is probably the most important since it will give you a solid base of the French language and will for sure motivate you to speak it fluently. It's made for you if : You want to be serious about learning French (but with some fun, interactive and visually interesting exercises).You need something structured (following The Common European Framework of Reference for Languages).You want extra material after the lesson.You are interested in getting A1 or A2 for DELF / TCF / TEF / FIDE ...How does it work ? The course is divided in 28 lessons (16 hours of videos) all following a very logical progression which is based on many years of teaching and dozens of French methods. I also use the exact same material with my private students in one to one lessons and I can assure you that they improve !Each lesson has a specific objective or theme and comes with vocabulary and grammar. All this new knowledge is tested through many exercises. For that part (exercises) you will need a pen and a piece of paper to do the exercises with me. It's easy, just follow the instructions on the video !After each lesson you will have access to the summary of the lesson, extra exercises (with corrections) and a vocabulary list. So please, do your homework :)The first 4 lessons are really made for total Beginners.Which level will I reach ? At the end of this course you will have completed the A1.2 level and reach a low intermediate level of French (A2) allowing you to :understand sentences and frequently used expressions related to areas of most immediate relevance (e.g. basic personal and family information, shopping, local geography, employment).communicate in simple and routine tasks requiring a simple and direct exchange of information on familiar and routine matters.describe in simple terms aspects of your background, immediate environment and matters in areas of immediate need.Please, if you have questions don't hesitate to contact me.See you in class !

Overview
Section 1: Se présenter - L'alphabet (for complete Beginners)

Lecture 1 Se présenter - L'alphabet

Lecture 2 Dictée de lettres (dictation)

Lecture 3 Dire son nom (tell your name) & Le verbe "S'appeler"

Lecture 4 Les expressions en classe

Lecture 5 Les devoirs (Homework)

Section 2: Faire connaissance - Les nationalités (for complete Beginners)

Lecture 6 Faire connaissance (Make acquaintance) - Les nationalités

Lecture 7 Le verbe "Être" (to be)

Lecture 8 Exercices Être & nationalités

Lecture 9 Le verbe "être" (to be) - Preview

Section 3: Saluer & dire au revoir - Say Hi & Bye (for complete Beginners)

Lecture 10 Saluer & dire au revoir

Lecture 11 Exercices

Lecture 12 Révisions

Section 4: Les nombres 1/2 (for complete Beginners)

Lecture 13 Les nombres (Numbers)

Lecture 14 Mise en pratique (Exercices)

Lecture 15 Compréhension orale sur les nombres

Section 5: Parler de soi 1/2 (Talk about yourself)

Lecture 16 Parler de soi (Talk about yourself) - Avoir (to have)

Lecture 17 Exercices Avoir & Être

Lecture 18 Les professions

Lecture 19 La négation (negative sentence)

Lecture 20 La négation "Ne...Pas" (The negative sentence) - Preview

Section 6: Parler de soi (Talk about yourself 2/2)

Lecture 21 Les verbes en -ER

Lecture 22 Exercices

Lecture 23 La liaison (the liaison)

Section 7: Les articles

Lecture 24 Les articles (Definite and Indefinite articles)

Lecture 25 Les articles indéfinis

Lecture 26 Les articles définis

Lecture 27 Exercices

Lecture 28 Les articles pour les pays (countries)

Lecture 29 Un voyage en France - Projet

Section 8: Parler de sa famille (Talk about your family)

Lecture 30 Parler de sa famille (Talk about your family)

Lecture 31 Le vocabulaire de la famille

Lecture 32 Dialogues (Compréhensions orales)

Lecture 33 Les adjectifs possessifs (Possessive adjectives)

Lecture 34 Exercices - Adjectifs possessifs

Lecture 35 Le lieu de vie (Where I live)

Lecture 36 Articles + pays

Lecture 37 Exercices

Lecture 38 La famille (vocabulaire) - Preview

Lecture 39 Un voyage en France - Projet

Section 9: Questionner (Ask questions)

Lecture 40 Questionner (Ask questions)

Lecture 41 Demander poliment (Ask politely)

Lecture 42 Les jours de la semaine (Days of the week)

Lecture 43 Questions sur l'identité

Lecture 44 La question avec "Quel"

Lecture 45 Exercices Quel / Quelle

Lecture 46 Les mois de l'année (Months of the year)

Section 10: Les nombres (2/2)

Lecture 47 Les nombres (2/2)

Lecture 48 Les nombres jusqu'à 1 000 000 000

Lecture 49 Exercices

Lecture 50 Comprendre des informations sur l'identité

Section 11: Décrire sa ville (Describe your city)

Lecture 51 Décrire sa ville (Describe your city)

Lecture 52 Le verbe Aller (to go)

Lecture 53 A l'école de langue (Compréhension orale)

Lecture 54 Les prépositions de lieux (prepositions of place)

Lecture 55 Exercices

Lecture 56 Les prépositions de lieu (prepositions of place) - Preview

Section 12: Comprendre un itinéraire (understand directions)

Lecture 57 Comprendre un itinéraire (understand directions)

Lecture 58 Les lieux (places) de la ville

Lecture 59 Les directions

Lecture 60 Comprendre des directions (écrit)

Lecture 61 Les verbes à connaître (Verbs to know)

Lecture 62 Exercices pratiques

Lecture 63 Trouver (Find) la destination ! - Preview

Lecture 64 Un voyage en France - Projet

Section 13: Parler de ses goûts et de ses activités (Preferences and activities)

Lecture 65 Parler de ses goûts et de ses activités

Lecture 66 Dialogue (écrit)

Lecture 67 Les expressions de goût (like / dislike)

Lecture 68 Le verbe Faire (to do)

Lecture 69 Révisions Aller + prépositions

Lecture 70 Un voyage en France - Projet

Section 14: Réserver un hébergement (Make a booking in a hotel)

Lecture 71 S'informer et réserver (to book) un hébergement (accommodation)

Lecture 72 Vocabulaire de l'hébergement (accommodation)

Lecture 73 Dialogue à l'hôtel

Lecture 74 Les questions fermées (closed questions)

Lecture 75 Les questions ouvertes (Opened questions)

Lecture 76 Les expressions de politesse

Lecture 77 Une réservation (a booking) - Preview

Lecture 78 Un voyage en France - Projet

Section 15: Révisions !

Lecture 79 Révisions

Lecture 80 Conjugaison time ! All the important verbs in this course

Section 16: Proposer une sortie (1/2) : Going out !

Lecture 81 Proposer une sortie (1/2) : Going out !

Lecture 82 Dialogue (écrit)

Lecture 83 Les expressions pour sortir (to go out)

Lecture 84 Le pronom personnel ON

Lecture 85 Vouloir (Want) - Pouvoir (Can) - Devoir (Must)

Lecture 86 Exercices pratiques

Section 17: Proposer une sortie (2/2) : Going out !

Lecture 87 Proposer une sortie 2/2 : Going out !

Lecture 88 Les pronoms toniques

Lecture 89 L'heure (explications et exercices)

Lecture 90 Les expressions de temps

Section 18: Décrire la personnalité et le physique

Lecture 91 Décrire la personnalité et le physique

Lecture 92 Dialogue (écrit et oral)

Lecture 93 Les adjectifs (vocabulaire)

Lecture 94 Masculin, féminin et pluriel des adjectifs

Lecture 95 Exercices

Lecture 96 Un voyage en France - Projet

Section 19: Faire du shopping

Lecture 97 Faire du shopping (Go shopping)

Lecture 98 Vocabulaire des vêtements (clothes) et accessoires

Lecture 99 Dans un magasin (Compréhension orale)

Lecture 100 Les adjectifs démonstratifs (Pour désigner)

Lecture 101 Matières et couleurs

Lecture 102 Exercices et phrases utiles (Useful expressions)

Lecture 103 Un voyage en France - Projet

Section 20: Parler de son quotidien (1/2) - Your Everyday life routine

Lecture 104 Parler de son quotidien (1/2)

Lecture 105 Compréhensions orales (Sa routine)

Lecture 106 Les activités du quotidien (Vocabulaire)

Lecture 107 Les verbes réflexifs (Se + ... )

Lecture 108 Exercices

Section 21: Parler de son quotidien (2/2) - Your Everyday life routine

Lecture 109 Parler de son quotidien (2/2)

Lecture 110 Dialogue et vocabulaire (le ménage : household chores)

Lecture 111 Situer dans le temps

Lecture 112 Le passé composé (Past tense)

Lecture 113 Les participes passés (Past participle)

Lecture 114 Exercices

Lecture 115 Un voyage en France - Projet

Section 22: Parler de ses vacances (Holidays)

Lecture 116 Parler de ses vacances (le passé)

Lecture 117 Comprendre une carte postale (écrit)

Lecture 118 Vocabulaire des activités de vacances

Lecture 119 Compréhensions orales (Les vacances idéales)

Lecture 120 Le passé composé avec Avoir ou Être

Lecture 121 L'accord du participe passé

Lecture 122 Exercices - Passé composé à l'oral

Lecture 123 Un voyage en France - Projet

Section 23: Chez le docteur (At the doctor's)

Lecture 124 Chez le docteur : At the doctor's

Lecture 125 Dialogue (Compréhension orale)

Lecture 126 Vocabulaire du corps (the body)

Lecture 127 Dire comment on se sent (How you feel)

Lecture 128 Chez le docteur

Lecture 129 Exercices

Lecture 130 Un voyage en France - Projet

Section 24: Parler de son alimentation : Talk about food

Lecture 131 Parler de son alimentation : Talk about food !

Lecture 132 Vocabulaire de la nourriture (1/2)

Lecture 133 Dialogue (Compréhension orale)

Lecture 134 Exprimer le besoin (Express the need)

Lecture 135 Les articles partitifs (for a quantity) - Vocabulaire 2/2

Lecture 136 Parler de ses habitudes (habits) - La fréquence

Lecture 137 Exercices

Section 25: Donner des conseils (Give advice)

Lecture 138 L'impératif (donner un conseil, un ordre)

Lecture 139 Comprendre une publicité (an ad)

Lecture 140 Le mode impératif

Lecture 141 Exercices sur l'impératif

Lecture 142 Négation et verbes réflexifs

Lecture 143 Mise en pratique (oral)

Section 26: Questionner (les 3 formes du questionnement)

Lecture 144 Le questionnement : Ask questions (3 formes)

Lecture 145 Compréhension écrite

Lecture 146 Les questions fermées (3 formes)

Lecture 147 Les questions ouvertes (3 formes)

Lecture 148 Exercices (Mise en pratique)

Lecture 149 Demander des informations (Type examen TEF)

Section 27: Parler de ses projets (le futur)

Lecture 150 Parler de ses projets : Talking about your plans

Lecture 151 Dialogue (Compréhension orale)

Lecture 152 Le passé récent (Recent past)

Lecture 153 Le futur proche (Near future)

Lecture 154 Futur ou passé (exercices)

Section 28: Révision des temps (the tenses)

Lecture 155 Les temps : la conjugaison

Lecture 156 Les différents temps

Lecture 157 Le présent (1er groupe)

Lecture 158 Le présent (deuxième groupe)

Lecture 159 Le présent (troisième groupe)

Lecture 160 Les verbes à connaître (Verbs to know !)

Lecture 161 Mise en pratique (Exercices)

Lecture 162 Un voyage en France - Projet

Section 29: La construction de la phrase (How to build a sentence)

Lecture 163 Les composants de la phrase

Anyone who wants to learn French fast and efficiently.,Students who want to quickly refresh their French.


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A deep understanding of AI large language model mechanisms
Published 8/2025
Created by Mike X Cohen
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 328 Lectures ( 93h 8m ) | Size: 67 GB

Build and train LLM NLP transformers and attention mechanisms (PyTorch). Explore with mechanistic interpretability tools



What you'll learn
Large language model (LLM) architectures, including GPT (OpenAI) and BERT
Transformer blocks
Attention algorithm
Pytorch
LLM pretraining
Explainable AI
Mechanistic interpretability
Machine learning
Deep learning
Principal components analysis
High-dimensional clustering
Dimension reduction
Advanced cosine similarity applications

Requirements
Motivation to learn about large language models and AI
Experience with coding is helpful but not necessary
Familiarity with machine learning is helpful but not necessary
Basic linear algebra is helpful
Deep learning, including gradient descent, is helpful but not necessary

Description
Deep Understanding of Large Language Models (LLMs): Architecture, Training, and Mechanisms

Large Language Models (LLMs) like ChatGPT, GPT-4, , GPT5, Claude, Gemini, and LLaMA are transforming artificial intelligence, natural language processing (NLP), and machine learning. But most courses only teach you how to use LLMs. This 90+ hour intensive course teaches you how they actually work - and how to dissect them using machine-learning and mechanistic interpretability methods.

This is a deep, end-to-end exploration of transformer architectures, self-attention mechanisms, embeddings layers, training pipelines, and inference strategies - with hands-on Python and PyTorch code at every step.

Whether your goal is to build your own transformer from scratch, fine-tune existing models, or understand the mathematics and engineering behind state-of-the-art generative AI, this course will give you the foundation and tools you need.

What You'll Learn

The complete architecture of LLMs - tokenization, embeddings, encoders, decoders, attention heads, feedforward networks, and layer normalization

Mathematics of attention mechanisms - dot-product attention, multi-head attention, positional encoding, causal masking, probabilistic token selection

Training LLMs - optimization (Adam, AdamW), loss functions, gradient accumulation, batch processing, learning-rate schedulers, regularization (L1, L2, decorrelation), gradient clipping

Fine-tuning and prompt engineering for downstream NLP tasks, system-tuning

Evaluation metrics - perplexity, accuracy, and benchmark datasets such as MAUVE, HellaSwag, SuperGLUE, and ways to assess bias and fairness

Practical PyTorch implementations of transformers, attention layers, and language model training loops, custom classes, custom loss functions

Inference techniques - greedy decoding, beam search, top-k sampling, temperature scaling

Scaling laws and trade-offs between model size, training data, and performance

Limitations and biases in LLMs - interpretability, ethical considerations, and responsible AI

Decoder-only transformers

Embeddings, including token embeddings and positional embeddings

Sampling techniques - methods for generating new text, including top-p, top-k, multinomial, and greedy

Why This Course Is Different

93+ hours of HD video lectures - blending theory, code, and practical application

Code challenges in every section - with full, downloadable solutions

Builds from first principles - starting from basic Python/Numpy implementations and progressing to full PyTorch LLMs

Suitable for researchers, engineers, and advanced learners who want to go beyond "black box" API usage

Clear explanations without dumbing down the content - intensive but approachable

Who Is This Course For?

Machine learning engineers and data scientists

AI researchers and NLP specialists

Software developers interested in deep learning and generative AI

Graduate students or self-learners with intermediate Python skills and basic ML knowledge

Technologies & Tools Covered

Python and PyTorch for deep learning

NumPy and Matplotlib for numerical computing and visualization

Google Colab for free GPU access

Hugging Face Transformers for working with pre-trained models

Tokenizers and text preprocessing tools

Implement Transformers in PyTorch, fine-tune LLMs, decode with attention mechanisms, and probe model internals

What if you have questions about the material?

This course has a Q&A (question and answer) section where you can post your questions about the course material (about the maths, statistics, coding, or machine learning aspects). I try to answer all questions within a day. You can also see all other questions and answers, which really improves how much you can learn! And you can contribute to the Q&A by posting to ongoing discussions.

By the end of this course, you won't just know how to work with LLMs - you'll understand why they work the way they do, and be able to design, train, evaluate, and deploy your own transformer-based language models.

Enroll now and start mastering Large Language Models from the ground up.

Who this course is for
AI engineers
Scientists interested in modern autoregressive modeling
Natural language processing enthusiasts
Students in a machine-learning or data science course
Graduate students or self-learners
Undergraduates interested in large language models
Machine-learning or data science practitioners
Researchers in explainable AI

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