AI Engineering Bootcamp 2027

A rigorous, dual-certified, 3-month engineering program not a watered-down intro. From first principles to deployed generative AI systems.

Demand for AI engineers is projected to grow over

0% by 2030

(Forbes)

Classes begin inJan 18, 2027

Days

Hours

Min

Sec

Apply Now See the full curriculum

Why This Program Is Different

Not another "intro to AI" seminar.

Real Engineering Depth

Build actual neural networks, computer vision systems, and generative AI applications — not surface-level demos.

Two Certificates, Global Recognition

An IBM Professional Certificate (via Coursera) plus an IDCL Certificate of Applied AI Engineering.

Beginner-Friendly, Engineer-Grade

Starts from “What is Python?” and builds to fine-tuning LLMs and deploying AI agents. No prior coding required, no ceiling on depth.

Two Outcomes, One Program

Structured for employment, including with international/remote employers, and for founding an AI startup.

A Builder's Network, Not Just a Classroom

Cohort-based learning designed to connect you with fellow builders, future co-founders, and mentors.

Onsite + Online

Full flexibility without compromising on content or certification.

Dedicated Facilitation

A ratio of 4 facilitators per 100 students, hands-on support layered on top of the Coursera/IBM coursework.

Who This Is For

Three starting points, one destination.

Absolute Beginners

Zero coding or AI background required. The program starts from first principles.

Developers Pivoting to AI/ML

Software developers ready to move their career into applied AI and machine learning.

Aspiring Founders

Builders who want to design, launch, and pitch their own AI-powered product.

What Participants Will Master

From first principles to deployed AI.

3 phases, 18 modules. Read top to bottom — each phase builds directly on the last.

Phase 1

AI & Machine Learning Engineering Foundations

07 modules

01Python from the ground up — syntax, logic, and programming fundamentals for AI application

02Core machine learning — regression, classification, clustering, decision trees, model evaluation

03Deep learning and neural network architecture, building networks with Keras

04Advanced deep learning with Keras & TensorFlow — custom layers, transfer learning, production-grade design

05Deep Neural Networks with PyTorch

06Computer Vision Engineering — CNN architecture, image classification, object recognition, transfer learning

07Capstone Project — design, train, validate, and deploy an original deep learning model end-to-end

Phase 2

Generative AI & LLM Engineering

06 modules

08Transformer architecture deep-dive — attention mechanisms, positional encoding, GPT and BERT internals

09Building and training language models with PyTorch

10Fine-tuning large language models — PEFT, LoRA, and QLoRA

11Advanced alignment techniques — RLHF, PPO, and Direct Preference Optimization (DPO)

12Building autonomous AI agents with RAG and LangChain

13Final Engineering Project — architect and deploy a complete generative AI application

Phase 3 — IDCL Exclusive

IDCL Advanced Track

05 modules

14Advanced architectures beyond the standard track, including an introduction to Graph Neural Networks

15Model deployment and MLOps essentials — getting AI models into production

16Building your AI portfolio and interview readiness for international/remote roles

17From model to startup — validating an AI product idea, building an MVP, and pitching

18Live networking session with builders, founders, and industry mentors

Certification Structure

Two certificates. Global recognition.

Certificate 1

IBM Professional Certificate

Delivered via Coursera. Internationally recognized.

Certificate 2

IDCL Certificate of Applied AI Engineering

Covers the full program, including the exclusive Advanced Track.

Assessment: passing all graded Coursera quizzes and labs, plus IDCL's practical capstone evaluation.

Delivery Format

How the program runs.

Mode

Onsite (Imo Digital City) and Online (live)

Days

Monday – Friday

Time

9:00 AM – 1:00 PM

Platforms

IDCL LMS and Coursera