AI Engineers are re-inventing the future

Join the next AI Engineering Training & Work Experience

Start your journey on the 21st March, 2026

What You’ll Be Able To Build

Course Overview

The AI Engineer program is a technical, hands-on course designed to train learners from AI enthusiasts to professional AI Engineers capable of deploying low code, no-code, and pro-code agentic agentic system in enterprice enviroment. It emphasises real‑world implementation and industry tools. This course is for aspiring AI engineers.

Program Highlights

  • Low Code Ecosystem

  • Machine Learning and Deep Learning algorithms

  • Model training, evaluation, and optimization

  • Generative AI and LLM fundamentals

  • AI deployment

  • Working with cloud‑based AI platforms

INTRODUCING THE GLOBAL FACULTY FOR AI ENGINEERING: LEARN FROM TOP GLOBAL AI LEADERS

Requirements

  • Have foundational knowledge of data, mathematics, or software engineering.

  • Technical Professionals Upskilling and are ready to transition into or deepen their expertise in AI Engineering.

  • 1-5 years of experience in tech or a related field.

  • Professionals with access to a laptop and stable internet connection.

Industrial Work Experience (Week 8-10)

Work Like a Real Consultant

  • Assigned a Client—style brief

  • Design, build and deploy a solution

  • Weekly sprints and professional reviews

  • Final Technical Presentation

Graduating With Proof not Promise

AI Engineering Frequently Asked Questions

Still have questions? Take a look at the FAQ or reach out anytime. If you’re feeling ready, go ahead and apply.

  • Unlike general AI enthusiasts who just "chat" with models, an Applied AI Engineer architects the systems, databases, and logic flows that make AI functional for businesses. This course transitions you from "Low-Code" (Microsoft Copilot) to "Pro-Code" (LangGraph), equipping you to build autonomous agents in real-world environments. Mastering LangGraph specifically puts you in the top 5% of AI developers globally, a high-demand niche in the current market.

  • Absolutely. We designed this for "Technical Problem Solvers" rather than just academic programmers. We provide a structured "bridge" that takes you from simple low-code tools like Microsoft Copilot to advanced pro-code development with Python and LangGraph. If you understand basic logic, you have the foundation to succeed.

  • : While information is free, professional transformation requires skin in the game and mentorship. Your fee covers high-stakes Lab Scenarios, personalized code reviews from industry practitioners, and most importantly 4 weeks of supervised Work Experience acting as a Consultant. We don't just teach you syntax; we teach you how to survive a real AI engineering job.


  • The course is intensive but flexible, requiring roughly 15–20 hours per week. While mentorship sessions have fixed times, the core learning modules are self-paced, allowing you to balance the 5–7 hours of content and 10–13 hours of hands-on lab work around your existing job.


  • You receive ongoing support from industry mentors through live sessions, feedback on your work, and access to a dedicated community. Mentors focus on helping you develop problem-solving and debugging skills rather than just giving answers.

  • Yes. Upon successful completion of all Capstone projects and the 4-week Work Experience project, you will receive a Certified Applied AI Engineer credential from Ziti, along with a portfolio of work hosted on GitHub to prove your skills to recruiters.

  • No hidden fees here. We provide a pre-configured, dedicated Azure environment for your exercises. For other tools, we use a hybrid approach: we guide you through n8n’s free cloud tier and show you how to run LangGraph on your own resources so you can continue building even after the course ends.


What Our Students Say About Us

  • "You can never get the best outside there compared to what Ziti Academy has to offer, while trying different programmes with all platforms whereas you have it all at your desk with Ziti Academy. Don't waste time start now."

    Peace A.

  • This is all you need to get started in Artificial Intelligence

    Falugba M.

  • Don’t just learn theory experience transformation! Joining this program gave me practical skills, a supportive community, and real-world exposure you won’t get anywhere else. If you’re serious about growing your career and standing out, the next cohort is exactly where you need to be.

    Esther O.

  • Amazing course, presented by seasoned experts. I have gained so much valuable insights and added new skils to my arsenal. Make learning about AI easy and fulfilling, try Ziti Academy!

    Ponts’o M.

Ready to Engineer Real AI Systems?