Advanced Agentic AI and Generative AI
Course Details
Course Curriculum & Description
Course Curriculum
Section 1: Generative AI and Agentic AI Foundations
- Introduction – 20:28
- What is Agentic AI – 22:36
- Difference between Generative AI and Agentic AI – 26:15
- AI Agents vs Traditional AI Systems – 13:13
- Real-world Agentic AI Applications – 13:13
- How LLMs Work – 24:08
- Prompt Engineering – 21:07
Course Overview
This course provides an introduction to Generative AI and Agentic AI with Python, covering the fundamentals of modern AI systems and practical applications of autonomous AI agents.
You will explore Large Language Models, prompt engineering, AI agents, embeddings, vector databases, Retrieval-Augmented Generation (RAG), planning, reasoning, memory management, tool usage, and workflow automation.
Key Topics Covered
- Generative AI fundamentals
- Agentic AI concepts
- Large Language Models (LLMs)
- Prompt engineering
- AI agents and autonomous systems
- Generative AI vs Agentic AI
- AI agents vs traditional AI systems
- Real-world Agentic AI applications
- Embeddings
- Vector databases
- Retrieval-Augmented Generation (RAG)
- Planning and reasoning
- Memory management
- Tool calling
- Workflow automation
- Multi-agent systems
Prerequisites
No specific technical prerequisite is listed. The course states that learners need a passion for Agentic AI and Generative AI.
Who This Course Is For
- Anyone who wants to learn Agentic AI and Generative AI
- Beginners interested in modern AI technologies
- Developers interested in building AI applications
- Data professionals exploring AI
- AI enthusiasts
What You Will Learn
- Master Generative AI fundamentals
- Build AI-powered applications with Python
- Understand Large Language Models and how they work
- Apply prompt engineering techniques
- Understand embeddings
- vector databases
- and RAG
- Design and deploy autonomous AI agents
- Build multi-agent AI systems
- Implement planning
- reasoning
- and memory management
- Use tool calling and workflow automation
- Develop real-world Agentic AI projects
- Build AI assistants
- research agents
- and document analysis systems
- Create customer support agents and coding assistants
- Design AI-powered business automation solutions
Course Prerequisites
A passion for Agentic AI and Generative AI. The course is designed for beginners, developers, data professionals, and AI enthusiasts.
Course Highlights
Beginner-friendly Generative AI and Agentic AI bootcamp
2.5 hours of on-demand video
1 section with 7 lectures
Learn Generative AI fundamentals
Python-based AI application development
AI agents and autonomous decision-making
LLMs and prompt engineering
Embeddings, vector databases, and RAG
Multi-agent systems
Planning, reasoning, and memory management
Tool calling and workflow automation
Real-world Agentic AI projects
Covers LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, and OpenAI APIs
Mobile and TV access
Lifetime access
Certificate of completion