Subject 1
Mathematical Foundations for AI
- •Linear algebra and matrix decompositions
- •Vector calculus, probability, and distributions
- •Optimization and gradient descent
AI ENGINEERING PROGRAM
Artificial Intelligence & Machine Learning
Build strong AI & Machine Learning foundations and learn to engineer real-world AI systems through a structured program combining IIIT Kottayam certifications, practical AI Engineering Live Labs, and career preparation.
- IIIT Kottayam Certification
- Practical AI Engineering Live Labs
- Career Preparation & Placement Assistance
- PROGRAM DURATION
- 7 Months
- Mode
- Live Labs + Online
- Level
- Intermediate
- Credential
- IIIT-K certification
About this program
This 7-month AI Engineering program is designed to take you beyond learning AI concepts to actually building and deploying AI systems.
The program combines a strong academic foundation through the IIIT Kottayam Certification Track with practical, mentor-led AI Engineering Live Labs. While the certification track builds your understanding of Mathematics, Data Science and Machine Learning, the Live Labs focus on how modern AI systems are engineered and used in the industry.
You'll work with areas such as LLMs, RAG, APIs, deployment, data pipelines and cloud infrastructure, while building practical projects under the guidance of experienced mentors.
The program concludes with career preparation, including portfolio development, mock interviews and placement assistance.
What you'll learn
- Mathematical foundations for AI, ML, data analytics, and optimization
- Data science, statistics, visualization, and data preprocessing
- Machine learning workflows, feature engineering, model training, and evaluation
- Advanced ML concepts including clustering, ensembles, neural networks, and NLP
- Large Language Models (LLMs), prompt engineering, embeddings, and RAG systems
- AI application development using APIs, vector databases, agents, and data pipelines
- Deployment of AI systems using cloud infrastructure, containers, and production workflows
A Program Built Around Learning + Engineering
Subject 2
Data Science with R
- •R programming and data handling
- •Statistics, visualization, and preprocessing
- •Regression and correlation analysis
Subject 3
Introduction to Machine Learning
- •ML workflows, features, and model training
- •Regression, classification, and model evaluation
- •Decision trees, SVM, Naive Bayes, and PCA
Subject 4
Advanced Machine Learning
- •Clustering, HMM, and ensemble methods
- •Neural networks and reinforcement learning
- •NLP, anomaly detection, and case studies
Subject 5
AI Engieering Live Labs
- •Python for AI Engineering, LLMs & Generative AI
- •Retrieval-Augmented Generation (RAG), Data & AI Pipelines
- •Containers, Cloud & Deployment, Building production-oriented AI applications
Subject 6
Career Preparation
- •Mock Interviews
- •Resume and profile building
- •Placement assistance
Who is this for?
- →Working Professionals: Software engineers and technology professionals looking to transition into AI roles or add AI engineering skills to their existing careers.
- →Final-Year Students & Recent Graduates: Learners looking to build practical AI skills, strengthen their portfolio, and prepare for technology roles after graduation.
- →Developers Moving into AI: Developers with experience in other technology stacks who want a structured path into Machine Learning, LLMs, RAG, and AI Engineering.
- →Data & ML Enthusiasts: Learners with foundational programming knowledge who want to deepen their understanding of Machine Learning and progress toward building real-world AI systems.
Designed to Fit Around Your Career
Self-Paced Academic Learning
Complete the IIIT Kottayam certification curriculum at your own pace through structured video courses, learning resources, and assessments.
Mentor-Led Live Labs
Join scheduled practical sessions focused on building AI systems, technical discussions, problem solving, and implementation.
Hands-On Projects
Apply concepts through practical assignments and projects across Machine Learning, LLMs, RAG, pipelines, APIs, and deployment.
Industry Mentorship
Learn with experienced practitioners who bring real engineering perspectives into the program.
Progress Tracking
Stay on track through the Trycle platform with structured milestones, assessments, learning progress, and program activities.
Career Preparation
Get support with portfolio building, mock interviews, technical preparation, and placement opportunities.
Many Tools, One Programme
Python
R Programming
Jupyter Notebook
Google Colab
NumPy
Pandas
SciPy
Matplotlib
Seaborn
Plotly
Scikit-learn
XGBoost
LightGBM
CatBoost
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
spaCy
NLTK
MySQL
PostgreSQL
Docker
GitHub
MLflow
FastAPI
Flask
Streamlit
Gradio
Kaggle
AWS SageMaker
Azure AI Studio
Google Vertex AI
ChatGPT
GitHub Copilot
Cursor AI
Earn Two Levels of Certification
Students receive subject-wise completion certificates and a final program certificate after successfully completing all required subjects.
Subject Completion Certificate
Issued when a learner completes each subject module with required assessments and participation.
Program Completion Certificate
Awarded after successfully completing all subjects and requirements in the full program track.
Turn Your Learning Into Career Progress
Building AI skills is only part of the journey. The program includes structured career preparation to help you demonstrate what you've learned and prepare for relevant opportunities.