The Next Frontier: Generative Ai For Absolute Beginners
What you'll learn
Artificial Intelligence (AI), Machine Learning and Deep Learning
Fundamentals of Machine Learning
Typical ML Tasks
Training Phase, Trained Model, Features
Supervised/Unsupervised/Semi-supervised Learning
Artificial Neural Networks (ANNs)
Deep Learning Architectures
Large Language Models (LLMs)
Contextual Prompting, RAG, Fine-Tuning
Foundation Models
Prompt, Tokens, Context Window
Prompt Engineering
Pretraining and Fine-tuning
Gen AI - Key Challenges and Limitations
Text-To-Text/Image/Video/Audio Models
Generative AI - Key Use Cases
Requirements
Nothing specific is needed to start the training program.
Description
The Future is HereStep into the fascinating realm of Generative AI, where machines create content with unprecedented creativity and intelligence. Generative AI is no longer a buzzword; it's reshaping industries and redefining possibilities, opening new doors to innovation and advanced applications. From art and music to healthcare and finance, its impact is undeniable. This course is your gateway to understanding the core concepts driving this revolution.Demystifying the ComplexNavigating the world of AI can be overwhelming. This course breaks down complex ideas into easy-to-understand concepts. Whether you're a student, tech enthusiast, a business leader, or simply curious, you'll find value in this comprehensive approach.Build a Strong FoundationGenerative AI is a rapidly evolving field with endless possibilities. This course will equip you with the fundamental theoretical knowledge needed to thrive in the AI-driven world. You'll gain a deep understanding of the AI landscape, the key machine learning building blocks, how Generative AI works, its potential applications, and market use cases across different sectors. We will also talk about limitations, challenges, and ethical considerations while leveraging this cutting-edge technology.Join the Gen AI RevolutionReady to embark on this transformative journey? Join me as we explore the exciting world of Generative AI.
Overview
Section 1: Getting Started
Lecture 1 Welcome!
Lecture 2 Any Question?
Section 2: Let's Build the AI Puzzle
Lecture 3 Introduction
Lecture 4 Artificial Intelligence (AI)
Lecture 5 Machine Learning (ML)
Lecture 6 Deep Learning (DL)
Lecture 7 Generative AI (Gen AI)
Lecture 8 Summary
Section 3: Soft Introduction to Machine Learning
Lecture 9 Introduction
Lecture 10 The ML Box (I/O)
Lecture 11 Typical ML Tasks
Lecture 12 Training Phase
Lecture 13 Y = F(X) - OMG!
Lecture 14 Data Types
Lecture 15 Features
Lecture 16 Please Call the Supervisor!
Lecture 17 Summary
Section 4: The Magic Behind Generative AI
Lecture 18 Introduction
Lecture 19 Artificial Neural Networks
Lecture 20 Deep Learning Architectures
Lecture 21 Foundation Models
Lecture 22 Large Language Models (LLMs)
Lecture 23 Model Types
Lecture 24 Prompt and Tokens
Lecture 25 Total Tokens and Context Window
Lecture 26 Next Token Please!
Lecture 27 Self-Supervised Learning
Lecture 28 Improving and Adapting LLMs
Lecture 29 Summary
Section 5: Key Challenges and Limitations
Lecture 30 Introduction
Lecture 31 Prompt Sensitivity
Lecture 32 Knowledge Cutoff
Lecture 33 It is not Deterministic
Lecture 34 Structured Data
Lecture 35 Hallucinations
Lecture 36 Lack of Common Sense
Lecture 37 Bias and Fairness
Lecture 38 Data Privacy, Security, and Misuse
Lecture 39 Summary
Section 6: Unleash the Power of Generative AI
Lecture 40 Introduction
Lecture 41 Text-Image-Video-Audio Generation
Lecture 42 Web-Based vs Application-Based (APIs)
Lecture 43 Use Case - Brainstorm Assistant
Lecture 44 Use Case - Summarization
Lecture 45 Use Case - Text Enhancement
Lecture 46 Use Case - Code Generation
Lecture 47 Use Case - Content as a Framework
Lecture 48 Use Case - Images on Demand
Lecture 49 Use Case - Boosting AI-Based Apps
Lecture 50 Best Practices for Prompts
Lecture 51 Summary
Section 7: Course Summary
Lecture 52 Let's Recap
Lecture 53 Thank You!
Engineers,Software developers,IT Professionals,Product/Project/Marketing Managers,Solutions Architects
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 946.39 MB | Duration: 3h 42m
Learn the Fundamental Concepts of AI, ML and Generative AI with an Easy, Simple and Fun Training
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 946.39 MB | Duration: 3h 42m
Learn the Fundamental Concepts of AI, ML and Generative AI with an Easy, Simple and Fun Training
What you'll learn
Artificial Intelligence (AI), Machine Learning and Deep Learning
Fundamentals of Machine Learning
Typical ML Tasks
Training Phase, Trained Model, Features
Supervised/Unsupervised/Semi-supervised Learning
Artificial Neural Networks (ANNs)
Deep Learning Architectures
Large Language Models (LLMs)
Contextual Prompting, RAG, Fine-Tuning
Foundation Models
Prompt, Tokens, Context Window
Prompt Engineering
Pretraining and Fine-tuning
Gen AI - Key Challenges and Limitations
Text-To-Text/Image/Video/Audio Models
Generative AI - Key Use Cases
Requirements
Nothing specific is needed to start the training program.
Description
The Future is HereStep into the fascinating realm of Generative AI, where machines create content with unprecedented creativity and intelligence. Generative AI is no longer a buzzword; it's reshaping industries and redefining possibilities, opening new doors to innovation and advanced applications. From art and music to healthcare and finance, its impact is undeniable. This course is your gateway to understanding the core concepts driving this revolution.Demystifying the ComplexNavigating the world of AI can be overwhelming. This course breaks down complex ideas into easy-to-understand concepts. Whether you're a student, tech enthusiast, a business leader, or simply curious, you'll find value in this comprehensive approach.Build a Strong FoundationGenerative AI is a rapidly evolving field with endless possibilities. This course will equip you with the fundamental theoretical knowledge needed to thrive in the AI-driven world. You'll gain a deep understanding of the AI landscape, the key machine learning building blocks, how Generative AI works, its potential applications, and market use cases across different sectors. We will also talk about limitations, challenges, and ethical considerations while leveraging this cutting-edge technology.Join the Gen AI RevolutionReady to embark on this transformative journey? Join me as we explore the exciting world of Generative AI.
Overview
Section 1: Getting Started
Lecture 1 Welcome!
Lecture 2 Any Question?
Section 2: Let's Build the AI Puzzle
Lecture 3 Introduction
Lecture 4 Artificial Intelligence (AI)
Lecture 5 Machine Learning (ML)
Lecture 6 Deep Learning (DL)
Lecture 7 Generative AI (Gen AI)
Lecture 8 Summary
Section 3: Soft Introduction to Machine Learning
Lecture 9 Introduction
Lecture 10 The ML Box (I/O)
Lecture 11 Typical ML Tasks
Lecture 12 Training Phase
Lecture 13 Y = F(X) - OMG!
Lecture 14 Data Types
Lecture 15 Features
Lecture 16 Please Call the Supervisor!
Lecture 17 Summary
Section 4: The Magic Behind Generative AI
Lecture 18 Introduction
Lecture 19 Artificial Neural Networks
Lecture 20 Deep Learning Architectures
Lecture 21 Foundation Models
Lecture 22 Large Language Models (LLMs)
Lecture 23 Model Types
Lecture 24 Prompt and Tokens
Lecture 25 Total Tokens and Context Window
Lecture 26 Next Token Please!
Lecture 27 Self-Supervised Learning
Lecture 28 Improving and Adapting LLMs
Lecture 29 Summary
Section 5: Key Challenges and Limitations
Lecture 30 Introduction
Lecture 31 Prompt Sensitivity
Lecture 32 Knowledge Cutoff
Lecture 33 It is not Deterministic
Lecture 34 Structured Data
Lecture 35 Hallucinations
Lecture 36 Lack of Common Sense
Lecture 37 Bias and Fairness
Lecture 38 Data Privacy, Security, and Misuse
Lecture 39 Summary
Section 6: Unleash the Power of Generative AI
Lecture 40 Introduction
Lecture 41 Text-Image-Video-Audio Generation
Lecture 42 Web-Based vs Application-Based (APIs)
Lecture 43 Use Case - Brainstorm Assistant
Lecture 44 Use Case - Summarization
Lecture 45 Use Case - Text Enhancement
Lecture 46 Use Case - Code Generation
Lecture 47 Use Case - Content as a Framework
Lecture 48 Use Case - Images on Demand
Lecture 49 Use Case - Boosting AI-Based Apps
Lecture 50 Best Practices for Prompts
Lecture 51 Summary
Section 7: Course Summary
Lecture 52 Let's Recap
Lecture 53 Thank You!
Engineers,Software developers,IT Professionals,Product/Project/Marketing Managers,Solutions Architects
Screenshots
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