Free video course
AI Agents Course: Beginner to AI Agent Architect
A free, chapter-wise video course on AI agents and agentic AI. Start with no coding or AI background and progress to production-ready multi-agent systems.
8 chapters · 49 videos planned · 1 available now · new lessons added chapter by chapter
How the course works
- One video per lessonEach lesson is 10–20 minutes, so you can learn step by step.
- From zeroNo programming or AI background needed. Python is taught in Chapter 5.
- Theory and practiceSimple explanations, real examples, architecture diagrams and Python demos.
Chapters
Chapter 1
AI Foundations
The core ideas behind modern AI, explained from zero, before you build anything.
4 videos · 45–60 minutes
- AI, machine learning and deep learning
- Generative AI and LLMs
- Tokens, prompts and context windows
- Transformers and how ChatGPT works
Chapter 2
AI Agents Fundamentals
What makes an agent an agent, and how it runs.
5 videos · 60–75 minutes
- Agents vs chatbots
- Autonomy and goals
- Reasoning and planning
- Actions, tools and observations
- Agent execution loops
Videos coming soon.
Chapter 3
Core Components of AI Agents
The building blocks every agent is made of.
6 videos · 75–90 minutes
- The LLM brain and instructions
- Short-term and long-term memory
- Tool calling and structured outputs
- State and context engineering
- RAG and vector databases
Videos coming soon.
Chapter 4
Agent Architectures and Patterns
Proven designs for single agents and teams of agents.
6 videos · 75–90 minutes
- ReAct and reflection
- Plan-and-execute and routing
- Parallel agents
- Supervisor-worker and hierarchical agents
- Multi-agent collaboration
- Human-in-the-loop
Videos coming soon.
Chapter 5
Python for AI Agents
Just enough Python to build your first agent.
6 videos · 75–100 minutes
- Python basics, functions, dictionaries and classes
- JSON, APIs and HTTP
- Async programming
- Environment variables
- Building your first agent
Videos coming soon.
Chapter 6
Agent Frameworks and Protocols
The main frameworks and protocols, and when to use each.
7 videos · 90–110 minutes
- LangChain and LangGraph
- OpenAI Agents SDK, CrewAI and AutoGen
- MCP and A2A
- Tools, state graphs and checkpointing
- Framework comparisons
Videos coming soon.
Chapter 7
Production AI Agent Engineering
Making agents reliable, safe and affordable in production.
7 videos · 90–110 minutes
- Testing and evaluations
- Guardrails, prompt injection and security
- Permissions
- Observability and tracing
- Latency, cost, retries and deployment
Videos coming soon.
Chapter 8
Real Projects and AI Architect Masterclass
End-to-end projects and the architect's view.
8 videos · 100–140 minutes
- Research, document Q&A and customer-support agents
- SQL and coding agents
- A multi-agent project
- Enterprise architecture
- Architect interview preparation
Videos coming soon.