Learn with Thabang
Practitioner-first courses built from real experience, not recycled textbook theory. From zero-code AI tools to advanced agentic engineering.
These courses are based on what I've built across Vodacom, ABSA, IBM, and Wits, and what I demonstrated on FabAcademic with Prof Phakeng. Join the waitlist to get notified first and secure early access.
Zero Code Courses
Start using AI today, no programming experience needed. Perfect for students, professionals, and business owners.
AI Agents for Everyone
Build practical AI assistants, no coding required
Learn to build AI agents that automate real tasks: job hunting, research, scheduling, and business operations. The same approach I demonstrated on FabAcademic with Prof Phakeng.
AI Productivity Mastery
Use AI to 10x your daily workflow. No code, just results
A hands-on course for professionals who want to use AI tools to write better, research faster, manage projects, and make decisions with data. No programming. Just practical skills you can use on Day 1.
Specialized Courses
Deep dives into agentic engineering, MCP infrastructure, multi-agent workflows, and production ML systems.
Agentic Engineering with Claude Code
Build, ship, and orchestrate AI agents from the terminal
Master Claude Code as your AI pair programmer. Learn to build full applications, automate complex workflows, and orchestrate multi-step agents, all from the command line. Based on how I actually build software daily.
MCP & Agentic Infrastructure
Build the connective tissue between AI agents and real systems
The Model Context Protocol is how AI agents talk to databases, APIs, and tools. Learn to build MCP servers, design tool schemas, and create production-grade agentic infrastructure that connects AI to everything.
Multi-Agent Development: Codex, Gemini & Beyond
Master every agentic coding tool and know when to use which
Not every agent is the same. Learn the strengths of OpenAI Codex CLI, Google Gemini CLI, Cursor, and Claude Code. Build workflows that combine multiple agents for maximum velocity. The polyglot approach to agentic engineering.
Production ML Systems
From notebooks to production. The engineering you need
The course I wish existed when I moved from research to industry. How to build ML systems that survive real data, real users, and real organizational constraints. Based on lessons from Vodacom, ABSA, and IBM.