AI Engineer
(Gen AI)
Professional Certification Program
Master production-ready AI systems with hands-on experience in LLMs, RAG systems, AI agents, and LLMOps. Build real-world AI applications from prompt engineering to cloud deployment with industry-standard tools and frameworks.
Our top performers
are hired by
Become a Job-ready AI Engineer
with STEM Link
Who is an AI Engineer?
AI Engineers design and build production-ready AI systems that solve real business problems. This involves working with Large Language Models (LLMs), building RAG systems, developing AI agents, and deploying scalable solutions to the cloud. An AI Engineer bridges the gap between experimental AI research and production systems that can handle enterprise-scale workloads.
How we Accelerate
your Job Placement
Top performers in our program hired within
3 Weeks to 2 Months
Average CS Graduate hired within
6 Months to 1 Year
We teach technologies that are recognized by
Leading AI Companies
OpenAI
HuggingFace
AutoGen
LangGraph
Pinecone
LlamaIndex
Helicone
FastAPI
PyTorch
Google AI Studio
Google Cloud Platform
Python
Git💕 loved by AI Engineers
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150+
Paid Job Placements in the past 8 months
3000+
Learners have enrolled in our bootcamps and succeeded
80%
of the learners who succeeded with us are beginners
Our grads get great jobs with both startups and industry giants
You After the AI Engineer
Program
Shane Fernando
Capstone Project
Production Grade IKMS with Monitoring
Education
AI Engineer Professional Certification
Mar - Jul 2026
Soft Skills
AI Engineering Skills & Tools
OpenAIHuggingFaceAutoGenLangGraphPineconeLlamaIndexHeliconeFastAPIPyTorchGoogle AI StudioGoogle Cloud PlatformPythonGit
How you get an AI Engineer
Role in just 4 Months
Master LLM foundations, RAG systems, and AI agent development with industry-standard tools.
Career coaching and building a compelling CV and AI project portfolio for engineering roles.
Practical AI Engineering
Mastery with Industry Tools
& Modern Frameworks
Mastering LLMs &
RAG Systems
Hands-on with Tools:
LangChain, FastAPI, AutoGen
Strong Understanding of
AI Agents, LLMOps, and
Production Deployment
This is what your
skillset will look like
OpenAIHuggingFaceAutoGenLangGraphPineconeLlamaIndexHeliconeFastAPIPyTorchGoogle AI StudioGoogle Cloud PlatformPythonGit
Integrations: Works with
Your Existing Tools
Start as a beginner and graduate job ready, gaining
hands-on skills, real-world experience, and the credentials you need to kickstart your tech career.
Retrieval-Augmented Generation (RAG) & Model Fine-Tuning
Multi-Agent Systems & Advanced AI Orchestration
Production-Ready LLMOps & Cloud Deployment
The Panel of Mentors who
Leveled Up Our AI Engineer
Bootcamp 1.0
Our mentors are industry practitioners and career specialists with deep expertise in AI Engineering, Machine Learning, and career growth.
Sachith
Senior AI Engineer at Arcadea Group, ML Engineer at Surge Global
Poornima
Associate Technical Lead & AI Solutions Lead at Sysco LABS
Shaqeeq
Head of Growth at Metana
Pasindu
Founder Zeya Health, Vice President Surge Global
Roy
Principal Architect at PickMe
Pubudu
Founder of EN2H
Vidura
AI Project Lead at IFS
Sabilashan
Ambassador and Creator at Lovable
Dilshara
Technical Consultant/CEO at STEM Link
Tharana
Head of Engineering at STEM Link
Some cool things
you are gonna learn
Master LLM Foundations & Transformer Architecture
Understand how Large Language Models work from embeddings to attention mechanisms, and integrate with OpenAI, Anthropic, and HuggingFace APIs.
Complete Learning Roadmap
Follow our structured curriculum with specialized tracks designed to take you from foundations to production-ready AI systems
AI Engineering
Main Track
Stage 0 - Foundations
- NLP → Transformers: evolution and fundamentals
- Anatomy of Transformers
- Training paradigms
- Prompt Engineering basics
Stage 1 - POC
- Single-Agent Workflows
- Multi-Agent orchestration
- Travel Planner & Booking system
- Context passing and state management between agents
Stage 2 - MVP
- RAG pipelines & Vector DBs
- Advanced retrieval with LlamaIndex
- Fine-Tuning & PEFT (LoRA, QLoRA)
- Multi-agent Knowledge Extensions
Stage 3 - Production
- API design & deployment
- LLMOps: monitoring, observability, evaluation
- Guardrails, security, and scaling
- Continuous data pipelines & ongoing fine-tuning
Stage 4 - Career Prep
- Individual CV Evaluation
- Interview Questions Discussion
- Code Review
- Final Mock Interview & Certification
Sub Tracks
Prompt Engineering for Build with AI
- Prompting for coding workflows
- Building fast AI-powered prototypes with tools
- Advanced prompt patterns
- Structured outputs & guardrails
AI Entrepreneurship
- Founder journeys: idea validation → MVP → scaling AI startups
- Lessons from AI product building
- Real-world B2B use cases
Machine Learning
- Supervised vs. Unsupervised Learning
- Key ML concepts
- Neural networks basics
- Metrics for evaluation
Fullstack Engineering
- API foundations
- Wrapping the IKMS backend into production-ready APIs
- Testing APIs with Postman
- Frontend chatbot integration with API endpoints
Enterprise AI Development
- Real-time AI Usecases
- Case study: ride-hailing — demand prediction, surge pricing, driver allocation
- Google AI Suite overview
- Hands-on demo: rapid prototyping
Program Outline
Understand Large Language Model Fundamentals
Explore the core principles of Large Language Models (LLMs), focusing on their architecture and functionality. Learn about embeddings, tokenization, and the basics of transformer models to build a strong foundation in AI.
What you will do in practice:
Software and languages you will learn:
OpenAIHuggingFaceDon't listen to us. Listen to their success stories
Most Popular
Builder Track
Everything you need to become job-ready as an
AI Engineer, with strong mentor support.
75+ students registered
Full AI Engineer curriculum (all sub-tracks)
Live instructor-led sessions
Direct access to mentors for technical guidance
Instant Support throughout the program
Project-based, real-world learning
Career guidance and interview preparation
Best performers recommended to hiring partners
Bonus Sub Tracks
AI Entreprenuership & BPA
Advanced Prompt Engineering
Machine Learning Foundations
Fullstack Engineering
Enterprise AI Development
100% Off75+ students registered
Accelerator Track
A highly personalized track with close monitoring, weekly coaching, fixing additional knowledge gaps and taking you towards getting hired.
Best for
Individuals feeling stuck
Career switchers needing close guidance
20+ students registered
Everything in the
Builder Track Plus:
Personalized learning and career roadmap
Dedicated personal mentor assigned
Bi-weekly 1-on-1 coaching calls
Continuous progress tracking and feedback
Strong accountability to stay disciplined
Bonus Sub Tracks
AI Entreprenuership & BPA
Advanced Prompt Engineering
Machine Learning Foundations
Fullstack Engineering
Enterprise AI Development
100% Off20+ students registered
Will you be certified?
Of course! It'll look great
on your resume and LinkedIn
Upskill at your pace,
with support every step of the way
Online Video
Courses
Courses
4,500 - 75,000 LKR
With STEM Link
50,000 - 60,000 LKR
Foreign Bootcamps/
Degree Programs
Degree Programs
1,500,000 - 9,000,000 LKR
Still not sure whether this program is
right for you ?
Book a call with our career advisers to learn how we can
accelerate your IT journey from months to just weeks
An Expert Panel of Industry Leaders
Founder Zeya Health
Principal Machine Learning
Engineer at OCTAVE
Head of AI
at Veracity Digital
Chief Architect & Co-Founder
of InfoWaves
AI Practitioner
at Microsoft AI MVP
Principal Architect
at PickMe
Founder of EN2H
Director of Software
Engineering at Calcey
Chief Executive Officer
at OREL IT
Get the same energy, expertise,
& knowledge that powered
Sri Lanka's first ever
AI research hackathon
This time designed to give
you the ultimate
AI Bootcamp Experience
Our Quality Assurance
Framework
We believe in complete transparency. Here's exactly how we
evaluate and certify our students with excellence.
Outstanding
Top performers eligible for distinction certification and advanced opportunities.
Performer
Strong performers ready for professional roles and career advancement.
Qualified
Meets minimum competency requirements and baseline standards.
Needs Retake
Additional learning with personalized mentoring and support.
How We Evaluate Your Work
Code Review
Quality, best practices, and comprehensive documentation analysis.
Feature Testing
Functionality validation, UX evaluation, and performance metrics.
1-on-1 Sessions
Technical clarity discussions and collaborative problem-solving.
Feedback Rounds
Detailed feedback loop with transparent marking and constructive guidance.
Certification Requirements
- Minimum 70% score in final evaluation
- Successful project completion with comprehensive documentation
- 1-on-1 interview demonstrating technical understanding and depth