The Intelligence Gateway
The definitive starting point for aspiring AI engineers. Learn the primitives behind modern LLM-powered applications and build real AI features that work in production—not just experiments and demos.
Self-paced · Foundational · ₦550,000
What You'll Learn
- 1
Python for AI Engineering
Build the Python fluency every AI workflow depends on: data structures, core libraries, and habits that make your code reusable.
- 2
Machine Learning Fundamentals
Understand how models actually learn — the core concepts behind the tools you'll use daily, without needing a PhD to get there.
- 3
LLM & Prompt Engineering Primitives
Work with large language models directly: prompting patterns, context management, and the failure modes to watch for.
- 4
Vector Databases & Retrieval (RAG) Basics
Learn how modern AI applications ground their answers in real data, not just what the model already “knows.”
- 5
Model Deployment & Inference Serving
Take a model from a notebook to a working, callable service other software can actually use.
- 6
AI Application Architecture
Design the APIs, agents, and tooling that turn a model into a real product feature, not just a demo.
Who This Is For
Developers curious about AI, aspiring AI/ML engineers, software engineers looking to add AI capabilities to their toolkit, and product-minded builders who want to move beyond prompting and build real LLM-powered applications.
What's Included
Hands-on AI labs · Community access · Project reviews from practising engineers · Real-world AI projects · Career-readiness fundamentals
Where This Leads
Junior AI/ML engineering roles, AI-focused software engineering roles, or product engineering roles involving AI.
Frequently Asked Questions
Do I need prior AI or machine learning experience?
No. The Foundation path is designed for developers who are new to AI engineering. You should have a basic understanding of programming and be comfortable working with code, but you do not need prior experience building machine learning models or LLM-powered applications.
Do I need to know how to use ChatGPT or other AI tools?
You don’t need advanced AI tool experience. The program focuses on understanding what happens under the hood and learning how to build reliable AI-powered applications, rather than simply learning how to write better prompts.
Will I build a real AI application?
Yes. You’ll work through hands-on projects that use modern AI and LLM primitives to build useful applications. The goal is to give you practical experience designing, implementing, and integrating AI features into software that you can demonstrate to others.
Will I train my own AI model?
The focus is not on training large language models from scratch. Instead, you’ll learn the engineering primitives used to build applications around modern AI models, including how models are integrated into products and how to make AI-powered features useful, reliable, and maintainable.
What will I learn in the AI Engineering Foundation?
You’ll learn the core concepts and engineering patterns behind modern LLM-powered applications. This includes working with models and APIs, designing effective AI workflows, handling application context, building AI features, and understanding the engineering considerations involved in taking AI applications beyond a simple prototype.
Is this a machine learning course?
It is primarily an AI engineering path rather than a traditional machine learning theory course. The emphasis is on using modern AI capabilities to build software products and understanding the engineering principles required to make those systems useful in real-world applications.
Will I get feedback on my projects?
Yes. You’ll have access to project reviews from practising engineers who can provide feedback on your implementation, engineering decisions, and overall approach. You’ll also have access to the Teleios community for support and collaboration.
What happens after I complete the Foundation path?
You’ll have practical AI engineering experience and projects that you can use to demonstrate your skills when pursuing junior AI/ML or AI-focused software engineering opportunities. Strong-performing graduates may also be considered for progression into more advanced Teleios programs.
Can I join if I’m already a software engineer?
Yes. The path can be useful for software engineers who want to add AI engineering to their skill set. If you already have significant AI engineering or production experience, you may also be better suited to an advanced-level program rather than starting with Foundation.
Ready to get started?
Enroll Now