Master Agentic AI Coding in 6 Weeks
From LLM Fundamentals to Production-Ready AI Agents with MCPs, RAG, and Modern IDE Integration
Build autonomous coding workflows that are both powerful AND safe
Enroll Now Download Overview (PDF)Meet the experts behind Architect Solutions.
Frank Goortani, TOGAF, PMP
Hands on Solution Architect | LLM, Web, Cloud, Mobile, Strategy
frank@goortani.com | Download PDF | View short version
Frank Goortani isn't just a technologist; he's a strategic partner dedicated to helping businesses harness the transformative power of AI. With over 25 years leading innovation from startups to Fortune 500s, Frank saw the potential of agentic coding and Modular Cognitive Processes (MCPs) early on.
His passion lies in empowering in-house development teams, turning complex AI concepts into practical, scalable solutions. Frank combines deep expertise in generative AI, cloud architecture, and intelligent automation with a pragmatic approach focused on delivering tangible business outcomes – accelerating your innovation and future-proofing your technology stack. He founded Architect Solutions to bridge the gap between cutting-edge AI capabilities and real-world business needs.
Core Expertise
Generative AI Strategy & Implementation, Agentic Workflow Design, Modular Cognitive Process (MCP) Architecture, Cloud-Native Solutions, Developer Enablement & Training.
Interests
Startups, GoLang, Python, Typescript, LangChain, LLMs, Microservices, MCPs
Bootcamp Modules
Module 1: Foundations
Understand How LLMs Really Work
Module 2: Agentic AI
Build Your First Autonomous Agent
Module 3: MCPs
Master Model-Context Protocols
Module 4: Memory & RAG
Implement Smart Context Management
Module 5: Toolchain Mastery
Navigate the AI IDE Landscape
Module 6: Production Workflows
Design Safe, Scalable AI Systems
What Makes This Unique
- Only course teaching Model-Context Protocol (MCP) implementation
- Comprehensive comparison of 15+ AI coding tools (Cursor, Windsurf, Cline, etc.)
- Real safety practices from production deployments
- "Anti-Vibe" principles - what NOT to do with AI agents
Detailed Learning Outcomes
- Module 1: Debug LLM hallucinations and optimize prompts using "X-ray" techniques
- Module 2: Build agents with proper kill-switches and policy guardrails
- Module 3: Create custom MCPs and integrate with GitHub, OpenRouter
- Module 4: Implement production RAG pipelines with proper chunking strategies
- Module 5: Choose the right AI IDE for your use case (with hands-on comparison data)
- Module 6: Design multi-agent workflows with mandatory human oversight
Who Should Attend
Perfect For:
- Senior developers adopting AI-first practices
- Technical leads evaluating AI coding tools
- DevOps engineers building automation pipelines
- Anyone burned by unsafe AI implementations
Prerequisites:
- 2+ years programming experience
- Basic Python knowledge
- Familiarity with Git and APIs
FAQ
- What if I can't attend live? All sessions recorded
- How current is the content? Updated monthly with new tools
- Will this work with my tech stack? Language-agnostic principles
- What about API costs? Free tiers sufficient, ~$20 optional
Free Bonus Resources
- Free Mini-Course: Debugging LLM Hallucinations (Module 1 Preview)
- AI Coding Tools Comparison Chart 2024
- MCP Implementation Checklist
Course Schedule
4 live sessions, 3 hours each. Includes labs, async Q&A.
Technical Deep Dive
- Code snippets from exercises
- Screenshots of the tools covered
- Architecture diagrams of agent systems
- Safety incident case studies
Student Outcomes
Join 200+ developers from companies like [logos]
"The bootcamp paid for itself in a week. I automated 50% of my deployment tasks."
S. Kim, DevOps Lead
"Our team cut code review time in half with the MCP patterns."
J. Patel, Engineering Manager
Average graduate automates 40% of coding tasks