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Agentic Ai For Enterprise And Startups - Agents For Work!
Published 10/2025
Created by GP Shangari
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 84 Lectures ( 20h 9m ) | Size: 18 GB
Master AI agent development with Python, Go, and cloud tools for enterprise solutions in M&A, healthcare, and MLOps.
What you'll learn
Learn how to build MCP Agents, Agent Swarms, and Sequential Agents for enterprise and startup use.
Learn how to use Python in a way that that is asynchronous, so they can have massively parallel Ai Agents.
Learn to use GoLang to easily build large AI agent swarms that can scale to thousands of agents, to do a tast in parallel, with orchestration
Architect multi-agent systems that run safely, effectively and suitable for enterprise or startup deployment
Requirements
python familiarity, basic coding principles, experience using ChatGPT
Ideal if the person has already has used ChatGPT API before.
Will need a ChatGPT API key with $5 on it since all the AI agents in the course can use the Chatgpt API
Description
This course is your gateway to mastering the development of AI agents-autonomous, goal-oriented systems capable of multi-step reasoning, decision-making, and seamless integration with modern tech stacks. From deploying full-stack AI applications to leveraging Retrieval-Augmented Generation (RAG) for advanced document processing, you'll gain practical expertise through real-world projects like a Football Player Value Analyzer, a Neuro ICU Seizure Prediction System, and a Calendar Agent powered by Google Vertex AI. With a focus on Python, Go, FastAPI, React, LangChain, LangGraph, and cloud-based tools, this course prepares you to build scalable, enterprise-ready AI solutions that drive impact.Why Take This Course?The demand for AI expertise is skyrocketing, with industries seeking professionals who can harness Agentic AI to automate workflows, enhance decision-making, and unlock new opportunities. This course stands out by offering:Hands-On Learning: Build real-world projects, including a full-stack AI startup website, an MLOps pipeline, and an AI-powered calendar agent, ensuring you gain practical, portfolio-ready experience.Cutting-Edge Tools: Master industry-standard technologies like Python, Go, FastAPI, React Next.js, Docker, GitHub Actions, PyTorch, and Google Vertex AI, alongside emerging frameworks like LangChain, LangGraph, and Mastra Ai.Enterprise Focus: Learn to address complex use cases in M&A document analysis, healthcare seizure prediction, and MLOps workflows, preparing you for high-demand roles in AI-driven industries.Scalable Architectures: Explore agent swarm architectures, event-driven systems, and multi-channel protocol (MCP) designs to build robust, scalable AI solutions.Comprehensive Curriculum: With over 80 lectures across 12 sections, this course covers everything from foundational concepts to advanced agent orchestration, ensuring a deep and thorough understanding.Downloadable Resources: Access complete source code, real-world case studies, and expert insights to accelerate your learning and project development.Career Transformation: Position yourself as a leader in AI development, ready to tackle roles like AI Engineer, Data Scientist, Full-Stack Developer, or Cloud Engineer.Whether you're a developer looking to upskill, a data scientist aiming to integrate AI into your workflows, or an entrepreneur building the next big startup, this course provides the tools and knowledge to succeed in the rapidly evolving AI landscape.What You'll LearnThis course is structured to take you from foundational AI concepts to advanced agent development, with a focus on practical, enterprise-ready applications. By the end, you'll be able to
evelop Full-Stack AI Applications: Build and deploy AI-driven websites using Golang for backend and frontend, integrated with blob storage for scalable data management.Create AI-Powered Agents: Design autonomous agents with ChatGPT API, Streamlit, and LangChain for tasks like competitive analysis in pharmaceuticals and M&A document processing.Master MLOps Pipelines: Implement CI/CD pipelines using GitHub Actions, Docker, PyTorch, and tools like Black and Flake8 to ensure robust, scalable machine learning workflows.Leverage Retrieval-Augmented Generation (RAG): Process structured and unstructured data (PDFs, CSVs, JSON) using PyPDF2, PDFPlumber, and vector databases for enhanced query responses with LLMs.Build Scalable Agent Swarms: Create event-driven architectures with Go routines, MCP frameworks, and LangGraph for multi-agent collaboration and workflow automation.Integrate Cloud APIs: Use Google Vertex AI, Google Calendar API, and OpenAI APIs to build intelligent agents for tasks like calendar management and football player valuation.Compare Python and Go: Understand the strengths and trade-offs of Python and Go for AI agent development, focusing on performance, scalability, and deployment.Implement Multimodal AI Systems: Combine text and image processing with Mastra Ai TypeScript, and Zod for advanced M&A workflows and operational analysis.Optimize Performance: Learn techniques like batching, prompt engineering, and horizontal scaling to reduce costs and improve efficiency in agent-based systems.Course HighlightsReal-World ProjectsApply your skills to practical, industry-relevant projects:Football Player Value Analyzer: Use Transfermarkt API, OpenAI GPT, and Go to analyze player data and generate accurate valuations.Neuro ICU Seizure Prediction System: Build an EEG inference framework with FastAPI, Python, and ONNX for real-time healthcare applications.Calendar Agent with Google Vertex AI: Create an AI-driven calendar agent using Google Calendar API and Vertex AI for natural language event management.M&A Document Processing Agent: Implement RAG with PyPDF2, PDFPlumber, and vector databases to analyze complex documents for mergers and acquisitions.Comprehensive CurriculumWith 12 sections and 81 lectures, this course covers:Full-Stack AI Development: Deploy websites with Golang, React Next.js, and FastAPI for enterprise-grade applications.AI Agent Development: Build autonomous agents using ChatGPT API, Streamlit, and LangChain for goal-oriented tasks.MLOps Workflows: Streamline machine learning pipelines with PyTorch, Docker, and GitHub Actions for CI/CD.Document Processing with RAG: Process PDFs, CSVs, and JSON with PyPDF2, PDFPlumber, and vector databases.Enterprise Healthcare Solutions: Develop Neuro ICU monitoring systems with asyncio, FastAPI, and WebSockets.Multi-Channel Protocol (MCP) Agents: Build scalable AI agents with Python, Go, and SimPy for enterprise automation.Google Cloud Integration: Create calendar agents with Vertex AI and Google Calendar API for seamless event management.Agent Swarm Architectures: Implement event-driven systems and multi-agent collaboration with Go routines and LangGraph.TypeScript and Mastra ai : Build advanced agents with TypeScript, Zod, and Mastra ai for M&A workflows.Performance Optimization: Optimize agent swarms with batching, caching, and prompt engineering.Downloadable ResourcesSource Code: Access complete, production-ready code for all projects via GitHub.Case Studies: Learn from real-world examples in M&A, healthcare, and MLOps.Mermaid Diagrams: Visualize agent architectures and workflows for better understanding.Requirements Files: Get pre-configured requirements.txt and setup scripts for quick deployment.Who Should Enroll?This course is designed forevelopers and Programmers: Looking to master Python, Go, FastAPI, and React for AI-driven applications.Data Scientists: Seeking to integrate Agentic AI and MLOps into their workflows for enterprise solutions.IT Professionals: Aiming to build and deploy scalable AI systems using Docker, GitHub Actions, and cloud APIs.Entrepreneurs and Startup Founders: Wanting to create AI-powered MVPs and POCs for innovative products.Career Changers: Aspiring to enter high-demand roles like AI Engineer, Full-Stack Developer, or Cloud Engineer.Prerequisites:Basic knowledge of Python or Go programming.Familiarity with web development concepts (e.g., APIs, front-end/back-end).Interest in AI, machine learning, or enterprise solutions.No prior experience with Agentic AI or cloud tools is required-this course starts with foundational concepts and builds to advanced topics.Why This Course Stands OutPractical Focus: Every lecture includes hands-on coding, real-world case studies, and downloadable resources to ensure you can apply what you learn.Industry-Relevant Skills: Covers in-demand technologies and frameworks used by top companies in AI, healthcare, and finance.Expert Instruction: Learn from instructors with deep experience in AI development, MLOps, and enterprise workflows.Future-Proof Content: Stay ahead with cutting-edge tools like LangChain, LangGraph, Mastra Ai, and Google Vertex AI.Community and Support: Join a community of learners, access Q&A sessions, and get expert feedback to accelerate your learning.Transform Your Career with AIThe AI revolution is here, and Agentic AI is at its forefront, transforming industries from healthcare to finance to startups. By mastering the skills in this course, you'll be ready to:Build production-ready AI applications that solve real-world problems.Secure high-demand roles in AI engineering, data science, or cloud architecture.Launch your own AI-driven startup with confidence and expertise.Stay ahead in the competitive job market with cutting-edge, in-demand skills.Enroll now to unlock the power of Generative AI and Agentic AI, and take the first step toward transforming your career. With over 20 hours of content, hands-on projects, and expert guidance, this course is your path to becoming an AI leader. Join today and build the future of work!Who this course is for
beginners to advanced developers who want to use the the latest AI technologies
CTOs and CEOs looking to add agents to their company with minimal overhead or difficulty
