Agentic AI Master Class for Beginners

Master AI-Specific Python — Learn data structures, OOP, and file handling patterns used in LangChain, CrewAI codebases & RAG pipelines.

Build Modular, Reusable Code — Structure projects with functions, packages, and virtual environments for clean, maintainable AI apps.

Handle Errors Like a Pro — Implement exception handling, logging, and debugging for reliable automation that won't break in production.

Connect Any LLM in Minutes — Integrate OpenAI, Anthropic, Google, Groq, and local models via Ollama with provider-agnostic code.

Design reusable prompts and structured outputs using templates, schemas & parsers for predictable, validated, automation-safe LLM responses.

Build Chains, Tools & Agents — Create LCEL pipelines, custom tools, and ReAct agents that reason, search, and take autonomous action.

Ingest data using loaders, splitters, and vector databases (Chroma, Pinecone, Qdrant, FAISS) to build searchable knowledge bases.

Build retrieval pipelines that feed relevant context into LLM prompts — eliminating hallucinations and improving accuracy.

Integrate RAG into agents so they can reason over your data, answer questions, and take action accordingly.

Design autonomous agents with specialized roles, goals, and backstories that collaborate like a real team.

Build complex workflows using CrewAI Flows — sequential, hierarchical, and parallel task execution with event-driven orchestration.

Implement agent-to-agent communication, delegation patterns, and multi-agent ecosystems for higher-level automation.

Add safety guardrails (function-based and LLM-as-Judge) to prevent errors, hallucinations, and compliance violations.

Build memory systems — short-term, long-term, and entity memory — for context-aware, persistent conversations.

Integrate observability tools (LangSmith, Langfuse, AgentOps) to debug, trace, evaluate, and optimize your AI systems in production.

Document Assistant — RAG/Agentic RAG system with semantic search and structured answers that makes any dataset intelligent.

Multi-Tool Agent — Autonomous agent that calls search, APIs, and databases to execute real-world tasks.

AI Research Team — Multi-agent CrewAI system that researches, writes, and delivers reports without human intervention.