Generative AI / Engineering
A structured, cohort-based 6-month program for anyone ready to break into Generative AI engineering. No CS degree needed, but basic programming foundations are required — Python itself is taught from scratch in Phase 1, so if you can commit to showing up every Sunday and putting in the work, we'll handle the rest.
What You Get
Live Weekly Mentorship
3-hour live sessions every Sunday, direct access to your instructor, and a focused peer cohort to grow with.
Portfolio-Ready Projects
Graduate with real-world AI applications you can showcase to employers or clients.
Industry-Aligned Curriculum
Learn Python, SQL, and modern LLM technologies in a way that mirrors how AI systems are built in the real world.
KenteCode Certificate
Earn a KenteCode AI certification demonstrating your competency in Generative AI Engineering.
Career Positioning
Resume optimization, portfolio strategy, and guidance on navigating AI roles and opportunities.
Vincent Amedekah
Founder & Lead Instructor
- Staff Data Engineer | AI/ML Engineer
- 12+ years IT industry experience
- MS Data Science — Georgia Tech
- BS Computer Science — UNC Greensboro
Vincent Amedekah is an AI and Data Engineering leader with over 12 years of experience building production-grade data platforms and applied AI systems across enterprise environments.
In this program, he brings industry-first engineering principles into the classroom — teaching you how modern AI systems are designed, built, deployed, and maintained in professional environments.
You won't just learn tools. You'll learn:
- How to architect practical AI workflows
- How to build and integrate LLM and RAG-based systems
- How to think and operate like a production-ready AI engineer
Two Phases to Mastery
A staged, beginner-friendly roadmap with real projects at every step.
Programming & Data Foundations
Build the technical core required for AI engineering.
- Python fundamentals for real-world development
- SQL for querying and managing structured data
- Data analysis with practical datasets
- Writing clean, maintainable code
- Mini-projects to solidify core skills
By Month 3, you'll confidently work with data, write Python programs, and understand how backend systems operate.
Generative AI Engineering
Move from foundations to building modern AI systems.
- Working with Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) systems
- Vector databases and embeddings
- Designing AI agents and workflows
- Integrating AI into real applications
- Capstone project: Build and deploy a Generative AI application
By Month 6, you'll have built real AI-powered systems ready for your portfolio.
Tools & Technologies
You won't just learn AI concepts. You'll design, build, and deploy real-world systems using a modern engineering stack.
Dev Environment
Languages & Libraries
Databases
LLM & AI
Deployment
Version Control
Roles You'll Be Prepared For
Junior Generative AI Engineer
Build and integrate AI-powered applications using Python and modern LLM technologies.
AI Application Developer
Design and implement AI-enhanced tools, workflows, and backend systems.
Python Developer (AI-Focused)
Develop automation scripts, integrate APIs, and deploy AI-enabled solutions.
Data Analyst with AI Skills
Use Python and SQL to analyze datasets and enhance reporting with AI-driven insights.
Format & Schedule
- Sunday: 3-hour live session (3–6 PM EST)
- Weekly office hours
- Self-paced recorded lessons
Enrollment Status
Next cohort starts 2027 — exact date TBA
Join the waitlist for early access & priority enrollment →
Cohort Size
Small cohorts for high-touch mentorship and personalized feedback.
Program Duration
Phase 1: Programming & Data Foundations → Phase 2: Generative AI Engineering
One Mission:Help You Thrive with AI.
Whether you are just getting started or ready to level up, our programs help you build practical AI skills you can use in real life and work.