Roadmap
From zero to agentic AI — one flight path
Eight weeks, one winding road, then Week 9: Final Project Presentations. Follow the plane from your first autonomous agent all the way to demo day. No prior experience — and no coding background — required.
- Week 1
Introduction to Agentic AI
- AI with autonomous decision-making
- Difference between AI and agents
- Core agent capabilities and functions
- Applications in real-world automation
- Week 2
Gemini CLI and Agentic AI using Gemini
- Introduction to Gemini CLI for agentic development
- Working inside Visual Studio Code
- Building agents with the Gemini CLI
- Antigravity CLI for agentic development
- Examples of building agents with Gemini and Antigravity
- Week 3
Introduction to Claude
- How Claude was born and the evolution of agentic skills
- Installing local LLMs
- Benchmarking and testing local LLMs
- Project presentations and coding-with-Claude best practices
- Week 4
Extending Skills with MCP, Automation & Orchestration
- Using MCP with agentic AI to extend skills
- Orchestrating agent interactions
- Orchestrating multiple agents for complex tasks
- Automating workflows with agentic AI and MCP
- Week 5
Digital Twins
- What a digital twin is and how it differs from a simulation
- Connecting sensor, IoT and operational data to a live virtual model
- Using agentic AI to monitor, predict and act on digital twin insights
- Digital twin use cases in manufacturing, energy, logistics and transport
- Demo: Digital Twin for Railways
- Week 6
The New Developer Experience with Agentic AI
- The evolving role of developers in the age of agentic AI
- New tools and platforms for agentic development
- Best practices for building and deploying agentic systems
- Vibe-coding best practices and developer experience
- Week 7
Voice Agents & Real-Time Actions
- Benefits and challenges of voice agents
- Voice-agent use cases and applications
- Interactive voice and memory agents
- Semantic search and document chunking for voice agents
- Week 8
Knowledge Systems & Expert Masterclass
- Building knowledge systems with agentic AI
- Expert systems and their applications
- Integrating expert knowledge into agentic AI
- Masterclass on building expert systems
- Week 9
Final Project Presentations
- Present your capstone agentic AI project to instructors and peers
- Live demo, Q&A and code walkthrough
- Feedback session and portfolio-ready polish
- Certificate of completion and next-step guidance
The planned course arc — stages and detail evolve as the program grows.
Ready to take off?
This is the map. The cohort is the journey — live lessons, real projects and mentoring the whole way. Start with a question or grab the syllabus.