ICSE flagship AI course

Institute of Computer Science and Engineering

Certified AI Engineering Professional (CAEP)

Become an Industry-Ready AI Engineer in Just 6 Months

100% OnlineWeekend Live Classes15+ ProjectsIndustry CapstoneProfessional CertificateCareer Support
Next batch: 30 August 2026 Limited seats — register as soon as possible
Next batch30 August 2026
Duration6 Months
Learning hours190+
Projects15+
Delivery100% Online
LanguageEnglish
FeeLKR 70,000

Saturday & Sunday · 7:00 PM – 10:00 PM

Limited seats — register as soon as possible. Register as soon as possible to secure your place.

Register now Professional Certificate awarded by ICSE
Industry-ready AI engineering

From Python fundamentals to production AI systems.

The Certified AI Engineering Professional (CAEP) is a comprehensive 6-month online professional program designed to equip students with industry-ready Artificial Intelligence engineering skills. The course covers Python programming, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, MLOps, Cloud Deployment, and real-world AI application development.

Students will build production-ready AI systems while developing an impressive GitHub portfolio, personal portfolio website, and a final capstone project.

0+Learning hours
0+Industry projects
0Core modules
0Capstone project
Who can join

Built for ambitious learners at every stage.

Whether you are starting out or levelling up, CAEP gives you a structured path into modern AI engineering.

No programming experience requiredModule 01 starts from Python fundamentals. After enrollment, students also get the prep Foundation Program inside the ICSE LMS.
University Students
School Leavers
Software Engineers
IT Professionals
Career Changers
Entrepreneurs
Anyone passionate about Artificial Intelligence
Why choose CAEP

Everything you need to become hireable.

Practical, mentor-led learning designed for real AI engineering roles—not passive video watching.

Industry Ready Curriculum

Built around the skills employers hire for: Python, ML, LLMs, RAG, agents, and MLOps.

100% Practical

Learn by building real systems every week instead of watching passive theory videos.

Hands-on Projects

Complete 15+ projects that prove you can ship AI features, not just explain them.

Live Online Classes

Weekend live sessions with instructors, demos, Q&A, and real-time feedback.

Recorded Sessions

Miss a class or need revision? Revisit every lecture through lifetime LMS access.

Expert Mentoring

Get guidance from practitioners who understand production AI workflows.

Portfolio Development

Graduate with a GitHub portfolio and personal site that recruiters can review.

Career Guidance

CV, LinkedIn, and role targeting support so you apply with a clear AI career path.

Mock Interviews

Practice technical and behavioral interviews before you face real hiring rounds.

Professional Certificate

Earn the CAEP professional certificate awarded by ICSE upon successful completion.

Lifetime LMS Access

Keep course materials, recordings, and resources available long after graduation.

Community Support

Learn with peers, share progress, and stay accountable inside the ICSE community.

12-module curriculum

A complete AI engineering journey.

From Python and mathematics to LLMs, RAG, AI agents, and an industry capstone—every module ends with practical work.

Module 0101

Python Programming Fundamentals

  • Python Basics
  • Variables
  • Loops
  • Functions
  • Data Structures
  • Object Oriented Programming
  • File Handling
  • Git
  • GitHub
  • Mini Project
Module 0202

Mathematics for AI

  • Statistics
  • Probability
  • Linear Algebra
  • NumPy
  • Pandas
  • Data Analysis
  • Mini Project
Module 0303

Machine Learning

  • Regression
  • Classification
  • Decision Trees
  • Random Forest
  • KNN
  • SVM
  • XGBoost
  • Clustering
  • Model Evaluation
  • Mini Project
Module 0404

Deep Learning

  • Neural Networks
  • TensorFlow
  • PyTorch
  • CNN
  • Transfer Learning
  • Mini Project
Module 0505

Computer Vision

  • OpenCV
  • Image Processing
  • Image Classification
  • Object Detection
  • OCR
  • YOLO
  • Mini Project
Module 0606

Natural Language Processing

  • Text Processing
  • Embeddings
  • Transformers
  • Sentiment Analysis
  • Named Entity Recognition
  • Mini Project
Module 0707

Generative AI

  • Prompt Engineering
  • OpenAI API
  • Claude API
  • Gemini API
  • Image Generation
  • Mini Project
Module 0808

Large Language Models

  • LLM Architecture
  • Embeddings
  • Fine Tuning Concepts
  • Vector Databases
  • Prompt Design
  • Mini Project
Module 0909

Retrieval Augmented Generation

  • RAG
  • LangChain
  • ChromaDB
  • FAISS
  • Pinecone
  • Semantic Search
  • Mini Project
Module 1010

AI Agents

  • LangGraph
  • CrewAI
  • AutoGen
  • Model Context Protocol (MCP)
  • Multi-Agent Systems
  • Mini Project
Module 1111

Deployment & MLOps

  • FastAPI
  • Docker
  • AWS Deployment
  • CI/CD
  • GitHub Actions
  • Monitoring
  • Mini Project
Module 1212

Industry Capstone Project

  • Production-ready AI application
  • AI Chatbot
  • AI Resume Analyzer
  • AI Medical Assistant
  • AI PDF Assistant
  • AI Customer Support
  • AI Research Assistant
  • AI Business Assistant
  • AI Finance Assistant
Technologies you will master

Learn the modern AI engineering stack.

Python
NumPy
Pandas
Scikit-learn
TensorFlow
PyTorch
OpenCV
FastAPI
Docker
Git
GitHub
AWS
PostgreSQL
React
Next.js
OpenAI
Claude
Gemini
LangChain
LangGraph
CrewAI
Pinecone
ChromaDB
FAISS
15+ real projects

Your portfolio becomes your proof.

Build practical AI systems across prediction, vision, NLP, chatbots, assistants, and automation.

Graduate portfolioGitHub portfolio + personal portfolio website
01Student Performance Predictor
02Employee Attrition Prediction
03Image Classification
04OCR System
05Sentiment Analysis
06AI Chatbot
07AI PDF Assistant
08AI Voice Assistant
09AI Resume Analyzer
10Customer Support Bot
11AI Sales Assistant
12Meeting Summarizer
13Research Assistant
14Business Analytics Assistant
15Final Industry Capstone
Module 12 · Industry capstone

Ship a production-ready AI application.

Develop one complete AI product—from problem framing and model design to deployment, monitoring, and professional presentation.

01Design02Build03Deploy04Present
Career paths

Step into the roles shaping the AI economy.

Graduate with projects, mentoring, and interview preparation that help you pursue AI engineering and automation careers.

Career guidanceMock interviewsPortfolio reviewsInterview preparation
Potential career paths

Artificial Intelligence Engineer

Machine Learning Engineer

LLM Engineer

Generative AI Engineer

AI Application Developer

Prompt Engineer

Data Scientist

Automation Engineer

AI Consultant

Freelancer

Startup Founder

Professional credential

Certified AI Engineering Professional (CAEP)

Complete the modules, projects, portfolio, and capstone to earn your Professional Certificate awarded by ICSE.

What students receive

More than live classes.

Professional Certificate

Earn the CAEP certificate awarded by ICSE after successful completion.

190+ Learning Hours

A full structured journey covering foundations through production AI systems.

15+ Projects

Build a deep portfolio of AI applications employers can evaluate quickly.

GitHub Portfolio

Organize and publish your work so recruiters can review real code and demos.

Portfolio Website

Showcase projects, skills, and outcomes on a personal site you can share.

Career Guidance

Get help targeting AI roles, refining your CV, and telling your career story.

Mock Interviews

Practice interview rounds so you enter hiring conversations with confidence.

Interview Preparation

Prepare for technical questions, project walkthroughs, and role expectations.

LMS Access

Access lessons, materials, and progress tracking through the ICSE learning portal.

Recorded Lectures

Rewatch every live session for revision, catch-up, and long-term reference.

Community Support

Learn alongside peers and stay motivated with shared progress and feedback.

Downloadable Resources

Keep notes, prompts, templates, and reference materials for future projects.

Course fee

A focused investment in your AI career.

Next batch starts 30 August 2026. Limited seats — register as soon as possible. Register as soon as possible to secure your place. Registration and remaining balance details are shown below.

  • Next batch starts 30 August 2026
  • Limited seats — register ASAP
  • Basic computer knowledge
  • No prior programming experience required
  • 100% online weekend live classes
  • Recorded sessions included
Professional course feeLKR 70,000
Next batch30 August 2026
SeatsLimited
Registration feeLKR 10,000
Remaining balanceLKR 60,000
ScheduleSat & Sun · 7 PM – 10 PM
Register now Talk to an advisor on WhatsApp
Payment

Full course fee

Pay the complete course fee of LKR 70,000 including registration (LKR 10,000) and the remaining balance (LKR 60,000).

Frequently asked questions

Clear answers before you enroll.

Need personal guidance on eligibility or class schedules? Contact the ICSE admissions team.

Contact admissions +94 70 637 2333
Who can join?+

University students, school leavers, software engineers, IT professionals, career changers, entrepreneurs, and anyone passionate about Artificial Intelligence can join CAEP.

Do I need programming experience?+

No prior programming experience is required. Module 01 starts from Python fundamentals and builds step by step toward advanced AI engineering.

Is this course fully online?+

Yes. CAEP is delivered 100% online with live classes every Saturday and Sunday from 7:00 PM to 10:00 PM.

Will recordings be available?+

Yes. All live sessions are recorded and students receive access through the LMS for revision and continued learning.

Do I receive a certificate?+

Yes. Successful graduates receive the Certified AI Engineering Professional (CAEP) Professional Certificate awarded by ICSE.

How are assignments submitted?+

Assignments are submitted through the LMS with clear deadlines, structured briefs, and instructor feedback on each submission.

How are projects evaluated?+

Projects are assessed through practical deliverables, code quality, documentation, demonstration, and alignment with real-world AI engineering standards.

Is career guidance included?+

Yes. Career guidance, mock interviews, interview preparation, and portfolio development support are included in the program.

Your AI engineering career starts here

Become an Industry-Ready AI Engineer

Next batch starts 30 August 2026. Limited seats available — register as soon as possible to secure your place in the CAEP program.

Best AI Engineering Course Sri Lanka | CAEP at ICSE