Gen AI & Agentic AI: Build Real Agents with Claude & Copilot

Source: https://www.udemy.com/course/generative-ai-agentic-ai-agents-claude-code-copilot/

What you’ll learn

AGENTIC AI FUNDAMENTALS – Understand how LLMs, context windows, tokens and hallucinations work so you can build agents that are reliable in production
PROMPT ENGINEERING – Write production-grade system prompts, slash commands and memory files that keep your agents reliable across long agentic tasks
CLAUDE CODE – Master terminal-native agentic coding with filesystem ownership, slash commands, memory files, subagents and MCP server integration
GITHUB COPILOT – Use Agent Mode, Next Edit Suggestions, Copilot CLI, AGENTS md and Copilot Cloud Agent to automate real workflows inside GitHub
MCP SERVERS – Connect GitHub, and Filesystem MCP servers to give your agents real tools and secure them against prompt injection attacks
N8N & EVENT-DRIVEN ORCHESTRATION – Trigger agent workflows from GitHub and Slack using n8n and chain them with Claude Code for full automation
REAL AI AGENT BUILDS – Build a PR review agent, slow query finder and more each introducing a distinct agentic architecture
GENERATIVE AI TOOLS – Compare Claude Code, GitHub Copilot, Google Antigravity and Gemini CLI to pick the right tool for every engineering workflow

Requirements

Basic understanding of any programming language — you don’t need to be an expert
Familiarity with what Git is — you don’t need to be advanced
A curious mindset and willingness to learn — no AI or ML background needed whatsoever