Generative AI Engineering Program
A structured, cohort-based 6-month program designed for learners with strong computer skills who are ready to transition into AI engineering — no prior programming experience required. Through step-by-step instruction, real-world projects, and live mentorship, you’ll learn to design, build, and deploy production-ready Generative and Agentic AI systems with confidence.
Join waitlist- Expert-level computer usage skills
- Ability to install software independently (e.g., Python, VS Code, Git, Docker, libraries)
- Ability to troubleshoot common system issues (e.g environment variables, PATH issues)
- Ability to write and run code based on structured instructions
This program is not designed for complete beginners to computers. Students should be comfortable solving technical setup issues with guidance.
Build real Generative AI systems — not just prompts. Every phase includes guided projects and practical implementation.
3-hour live sessions every Saturday, direct access to your instructor, and a focused peer cohort to grow with.
Graduate with real-world AI applications you can showcase to employers or clients.
Learn Python, SQL, and modern LLM technologies in a way that mirrors how AI systems are built in the real world.
Earn a KenteCode AI certification demonstrating your competency in Generative AI Engineering.
Resume optimization, portfolio strategy, and guidance on navigating AI roles and opportunities.
Roles You'll Be Prepared For
This program equips you with practical skills to contribute to AI-driven teams and projects in production environments.
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.
Learning Path
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 the end of 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 the end of the program, you'll have built real AI-powered systems ready for your portfolio.
Tools & Technologies You'll Master
You won't just learn AI concepts. You'll design, build, and deploy real-world Generative AI systems using a modern engineering stack.
Programming & Data Foundations
- Visual Studio Code (VS Code)
- Jupyter Notebook / Google Colab
- Python
- Pandas, Matplotlib, and essential data libraries
- PostgreSQL (pgAdmin)
- Git & GitHub
By the end of this phase, you'll work confidently in a professional development environment.
Generative AI & LLM Engineering
- Hugging Face ecosystem
- Open-source and hosted LLMs
- Ollama
- Open WebUI
- Embeddings
- Vector databases
- Retrieval-Augmented Generation (RAG) workflows
You'll learn how modern AI systems are structured not just how to write prompts.
Deployment & Productization
- FastAPI
- Streamlit
- Vercel
- Supabase
You won't stop at experimentation. You'll deploy working AI applications.
Meet Your Instructor
Vincent Amedekah
Founder & Lead Instructor, Generative AI Engineering
Vincent Amedekah is an AI and Data Engineering leader with over 15 years of experience building production-grade data platforms and applied AI systems across enterprise environments.
He currently serves as a Staff Data Engineer at Dassault Systèmes, where he leads large-scale data and AI initiatives powering healthcare and life sciences products used globally.
Beyond corporate leadership, Vincent has designed and deployed real-world AI and automation systems — bridging the gap between engineering theory and production execution.
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
This program is designed to help motivated beginners develop real technical confidence, practical skills, and portfolio-ready experience — step by step.
Instructor quick facts
- Staff Data Engineer, Dassault Systèmes
- 15+ years industry experience
- Georgia Tech MS Analytics
- UNC Greensboro BS Computer Science
Payment plan: pay $500 per month X 5.
50% discount available for Africa residents.
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