Module 0101
Python Programming Fundamentals
- Python Basics
- Variables
- Loops
- Functions
- Data Structures
- Object Oriented Programming
- File Handling
- Git
- GitHub
- Mini Project
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
No programming experience required Professional certificate included
Next cohortApplications open
Duration6 Months
Learning hours190+
Projects15+
Delivery100% Online
LanguageEnglish
FeeLKR 70,000
Saturday & Sunday · 9:00 AM – 1:00 PM
Enroll today Professional Certificate awarded by ICSEIndustry-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.
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
100% Practical
Hands-on Projects
Live Online Classes
Recorded Sessions
Expert Mentoring
Portfolio Development
Career Guidance
Mock Interviews
Professional Certificate
Lifetime LMS Access
Community Support
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 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 Certificate190+ Learning Hours15+ ProjectsGitHub PortfolioPortfolio WebsiteCareer GuidanceMock InterviewsInterview PreparationLMS AccessRecorded LecturesCommunity SupportDownloadable Resources
Course fee
A focused investment in your AI career.
Pay the full course fee to secure your place in the next cohort. Registration and remaining balance details are shown below.
- Basic computer knowledge
- No prior programming experience required
- 100% online weekend live classes
- Recorded sessions included
Professional course feeLKR 70,000
Registration feeLKR 10,000
Remaining balanceLKR 60,000
ScheduleSat & Sun · 9 AM – 1 PM
Enroll now Talk to an advisor on WhatsAppPayment
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 2333Who 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 9:00 AM to 1:00 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
Start building the future with Artificial Intelligence through live teaching, practical projects, and industry mentoring.