Certified AI Engineer Professional
A 148-hour AI-engineering track — core data-science and machine-learning foundations, then deep learning (ANNs, CNNs, NLP, RNNs) and deploying models in production. One continuous, project-based journey from Python foundations to an AI-engineering portfolio.
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Course Info
- Type
- Certification
- Subject
- Individual & Professional Certification
- Duration
- 148 hours
- Course code
- CAIEP
- Prerequisites
- Comfort with basic computing; foundational programs available if needed.
Delivery
- Live-virtual — Instructor-led online cohorts.
- On-site — In-person at your premises or ours.
Tools
- Data-science & ML foundations + deep learning (ANNs/CNNs/NLP/RNNs) + deployment
What you'll learn
A 148-hour AI-engineering track — core data-science and machine-learning foundations, then deep learning (ANNs, CNNs, NLP, RNNs) and deploying models in production. One continuous, project-based journey from Python foundations to an AI-engineering portfolio.
You start from Python and data foundations, move through the core machine-learning workflow, then build deep-learning models for vision, language and sequences before deploying them. The track is heavily project-based and ends with an end-to-end AI system for your portfolio.
- Graduates and professionals targeting a full AI-engineer role.
- Analysts and developers who want end-to-end AI capability.
- Work through the core data-science and machine-learning workflow.
- Build deep-learning models for vision, language and sequence data.
- Engineer features and rigorously evaluate model performance.
- Deploy and serve trained models in production.
- Graduate with a full-stack AI portfolio and capstone project.
- Hands-on labs throughout the program (70% project-based).
- A capstone project demonstrating end-to-end skills.
- Build and deploy deep-learning models across vision, language and sequence data.
- Graduate job-ready with a full-stack AI portfolio.
Globally accredited certificate issued by Epsilon AI Learning — USA, with a unique Certificate ID and EPSILON ID. Awarded on 80% attendance, 80% final exam, and a capstone project.
Program Curriculum
- Python for data work and scientific libraries
- Exploratory data analysis (EDA) and SQL
- Statistics and probability for ML
- Supervised and unsupervised learning
- Feature engineering
- Model evaluation and validation
- Neural networks, activation and loss
- Backpropagation and optimization
- Training with TensorFlow / PyTorch
- Convolutional networks (CNNs) for vision
- RNNs & LSTMs for sequence data
- Natural language processing basics
- Packaging and serving trained models
- APIs and cloud deployment
- Monitoring models in production
- Scoping an end-to-end AI problem
- Building and deploying the solution
- Presenting a portfolio-ready project
Frequently asked questions
Is this suitable for beginners?
Entry is based on your background. Over 148 hours it starts from Python and data foundations, moves through machine learning and deep learning, and ends with deploying models — no prior AI experience is required, only commitment.
What roles does it prepare me for?
It targets a full AI-engineer role — able to build and deploy machine-learning and deep-learning systems across vision, language and sequence data.
How is it different from the shorter data-science programs?
It combines core data-science and machine-learning foundations with deep learning and deployment in one continuous track, whereas CDSP (180 hours) concentrates on the data-science and machine-learning pipeline itself.
How much does the program cost?
We quote on a call rather than publishing a figure, because the price depends on the format you pick — live online, onsite, or a private cohort for a team — and because we would rather check the programme is right for you before talking about money. An advisor goes through what it covers, what you will be able to do at the end, and the prerequisites, and then gives you the exact price and the payment options. It takes about twenty minutes and there is no obligation. Request it from the form on this page.
When does the next cohort start?
New cohorts open regularly, online and onsite, and we confirm dates on the same call as the price — partly because they move, and partly because the right date depends on which format suits you and whether you meet the prerequisites yet. Ask on the form and an advisor will give you the next available starts that fit your schedule.
Is the program online or onsite, and in which language?
Both — Epsilon runs live, instructor-led sessions online and onsite, plus dedicated corporate cohorts. Programs are delivered in English and Arabic, with bilingual materials and instructor support. Tell us your preference in the registration form.
What certificate will I receive?
A globally accredited certificate from Epsilon AI Learning — USA, carrying a unique Certificate ID and Epsilon ID. It is awarded on 80% attendance, an 80% final exam, and a completed capstone project, and it is verifiable online.
Continue your pathway
This program is part of the Epsilon certification framework. Explore the full seven-level pathway and top-up programs to build on what you learn here.
AI Engineer
- Certified AI Engineer Professional
Full-stack AI; entry by background
Led by Epsilon's expert instructors
Every program is delivered by practitioners who ship AI and analytics in industry — the same team across all Epsilon programs.
Where our graduates work
A sample of the employers hiring Epsilon Learning graduates across the region and beyond.
Earning your accredited certificate
To receive the accredited certificate you need at least 80% attendance, at least 80% in the final exam, and a completed capstone project.
When the next cohort starts
Dates are confirmed on the same call as the price, because they move and because the right start depends on the format that suits you. Ask to be told when the next one opens and an advisor will come back with the starts that fit your schedule.
Tell me when the next one opens
Your name and a way to reach you. No newsletter — we write when there is a date.
Register — Certified AI Engineer Professional
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