Generative AI / Engineering
A structured, cohort-based 6-month program designed for learners with strong computer skills who are ready to transition into Generative AI engineering — no CS degree required.
One-time payment: $1,800 (save $200) · Or 5 monthly payments of $400
What's Included
Questions? Email info@kentecode.ai
Africa Scholarship
We believe in accessible AI education. Africa-based students are eligible for a 50% tuition discount — no application needed, just verify your location.
Format & Schedule
- Saturday: 3-hour live session (2–5 PM EST)
- Wednesday: 1-hour office hours
- Daily: Self-paced recorded lessons
Enrollment Status
Next cohort dates to be announced
Join waitlist for early access →
Cohort Size
Small cohorts for high-touch mentorship and personalized feedback.
Program Duration
Phase 1: Programming & Data Foundations → Phase 2: Generative AI Engineering
Vincent Amedekah
Founder & Lead Instructor
- Staff Data Engineer, Dassault Systèmes
- 15+ years industry experience
- MS Analytics — Georgia Tech
- BS Computer Science — UNC Greensboro
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.
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
What You Get
Hands-On Engineering Training
Build real Generative AI systems — not just prompts. Every phase includes guided projects and practical implementation.
Live Weekly Mentorship
3-hour live sessions every Saturday, 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.
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.
You're Ready
Good Fit- Expert-level computer usage skills
- Can install software independently (Python, VS Code, Git, Docker)
- Can troubleshoot environment variables and PATH issues
- Can write and run code from structured instructions
- Self-motivated and committed to the schedule
Not Quite Yet
Not a Fit- Complete beginner to computers
- Can't install software independently
- Uncomfortable with technical setup
- Wants a non-technical AI course
- Can't commit to the 6-month schedule
Not sure if you're ready? Email info@kentecode.ai and we'll help you decide.
One-time payment: $1,800 (save $200) · Or 5 monthly payments of $400
What's Included
Questions? Email info@kentecode.ai
Africa Scholarship
We believe in accessible AI education. Africa-based students are eligible for a 50% tuition discount — no application needed, just verify your location.