What you'll learn
- Project 1: Career Digital Twin. Build and deploy your own Agent to represent you to potential future employers.
- Project 2: SDR Agent. An instant business application: create Sales Representatives that craft and send professional emails .
- Project 3: Deep Research. Make your own version of the essential Agentic use case: a team of Agents that carry out extensive research on any topic you choose.
- Project 4: Build a Stock Picker Agent in minutes with CrewAI—automate your search for investment gems!
- Project 5: Deploy your own 4-Agent Engineering Team—manage, build, and test software apps with CrewAI and Coder Agents in Docker!
- Project 6: Build your own version of OpenAI’s Operator Agent—your Sidekick works with you inside your browser via LangGraph!
- Project 7: Agent Creator—an Agent that builds and launches new Agents using AutoGen, unlocking endless AI possibilities!
- Project 8: Capstone—build a Trading Floor with 4 Agents making autonomous trades, powered by 6 MCP servers and 44 tools!
Requirements
- While it’s ideal if you can code in Python and have some experience working with LLMs, this course is designed for a very wide audience, regardless of background. I’ve included a whole folder of self-study labs that cover foundational technical and programming skills. If you’re new to coding, there’s only one requirement: plenty of patience!
- The course runs best if you have a small budget for APIs, but it’s totally your choice. You can complete the entire course with no API spend. If you do wish to use frontier models, the typical spend would be under $5. You can choose to access more capabilities if you’re comfortable spending a little more.
Description
2026 is nothing short of a watershed moment for AI Agents. It has never been more important to be an expert with Agentic AI. And that is precisely the goal of this course: to equip you with the skills and expertise to design, build and deploy Autonomous AI Agents, opening up new career and commercial opportunities.
This is an intensive 6-week program to master Agentic AI. We start by building foundational expertise, connecting LLMs using proven design patterns. Then, each week, we upskill with new frameworks: OpenAI Agents SDK, CrewAI, LangGraph and Autogen. The course culminates with a full week on the remarkable opportunities opened up by MCP.
Above all, this is a hands-on course. I’m a big believer that the best way to learn is by DOING. So please prepare to roll up your sleeves! We’ll build 8 real-world projects; some are astonishing, some are intriguing, and some are quite surreal. But one thing’s for sure: all are powerful demonstrations of Agentic AI’s potential to utterly transform the business landscape.
So come join me on this comprehensive 6-week journey. By the end, you will have mastered Agentic AI. You will have expertise in all the major frameworks. You’ll be well-versed in the strengths and traps of Agentic AI. You’ll confidently unleash Autonomous Agents to solve real-world commercial problems. And along the way, you’ll have had a whole lot of fun with the astounding, groundbreaking technology that is Agentic AI.
Who this course is for:
- Well, perhaps I’m biased, but I’d say: anyone and everyone! If you’re fascinated in the potential of Agents and hungry to have the skills to create powerful Agentic AI – then you’ve come to the right place. While it’s most suited to those with programming experience, I’ve designed the course to work for all backgrounds.
Instructors
Ed Donner is a technology leader and repeat founder of AI startups. He’s the co-founder and CTO of Nebula, the platform to source, understand, engage and manage talent, using Generative AI and other forms of machine learning. Nebula’s long-term goal is to help people discover their potential and pursue their reason for being.
Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company, acquired in 2021. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across 3 continents, after a 15-year technology career on Wall Street. Ed holds a patent for a Deep Learning matching engine issued in 2023, and an MA in Physics from Oxford.
Join 3.8M+ learners who study with Ligency.
With a 4.6 instructor rating, >1.1 M reviews, and 126 courses in 12 languages, we help engineers, leaders, and teams master the skills that power today’s AI revolution - then ship real results.
We start where the real world starts: with large language models and the products they power. You’ll learn the foundations of AI and Generative AI (gen AI), then ship production-grade systems - chatbots, copilots, automations, and AI agents. We go deep on LLM engineering: retrieval (RAG), evaluation, observability, safety, and the patterns teams use to run agentic systems at scale.
Our stack is practical and current. You’ll prototype fast with Python, LangChain, and LangGraph; explore models from OpenAI, Gemini, and Claude (including Claude Code); fine-tune and serve with Hugging Face and Ollama; and take it to production on AWS - from Bedrock to event-driven services. Need automation? We wire it together with n8n, clean interfaces, and CI/CD. Along the way you’ll master prompt engineering that holds up under load.
Where this leads: roles that ship. AI Engineer and LLM Engineer for those who love building; platform and MLOps paths for those drawn to reliability at scale; product and leadership tracks for the people moving Agentic AI from slide decks to business outcomes. The through-line is the same: learn fast, build faster, measure everything, iterate.
Start with our best selling course:
AI Coder: Complete Claude Code & Coding Agents Course - build complete products at speed with AI coding agents like Claude Code, Cursor, Copilot and Codex, no coding background required.
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents - a hands-on path from your first prompt to production patterns: 20+ models, RAG, QLoRA fine-tuning, and agents with LangChain/LangGraph.
AI Engineer Agentic Track: The Complete Agent & MCP Course - design, orchestrate, and deploy robust AI agents across OpenAI Agents SDK, CrewAI, LangGraph and MCP.
AI Engineer Production Track: Deploy LLMs & Agents at Scale - scaling patterns for pipelines, monitoring, and enterprise rollout on AWS with Bedrock, Google Cloud Platform, Azure and MLOps.
AI Builder: Create Agents, Voice Agents & Automations in n8n - wire up low-code AI agents, voice agents and business automations in n8n with ElevenLabs, RAG and MCP.
Practical Guide to AI Agents & Agentic AI with Claude Cowork - build six working no-code AI agents on your real tools (Gmail, Slack, Notion, Calendar) with Claude Cowork and MCP.
AI Leader: Generative AI & Agentic AI for Leaders & Founders - a concise playbook for strategy, governance, and ROI with Generative AI and agents.
If your goal is to level up quickly and ship something real, join us. Learn the concepts, touch the tools, build the thing - then take it to users. That’s the Ligency way.