Artificial Intelligence & Machine Learning Course in Kerala
Build intelligence. Solve real problems. Shape the future. A comprehensive AI & ML program taking you from fundamentals to building real-world intelligent models — designed for the fastest-growing domain in tech.
Course Overview
Technologies & Tools
Work with the same industry-standard tools used by AI professionals worldwide
Course Highlights
Live Classes
Interactive sessions with expert AI professionals — not pre-recorded
Hands-on Projects
Work on real-world datasets & industry projects throughout the course
Industry Certificate
Globally recognized completion certificate to boost your profile
Placement Support
Career guidance & 100% placement assistance after completion
Course Curriculum
Module 1 — Introduction to AI & Machine Learning
- AI vs ML — key differences and real-world applications
- Types of machine learning — supervised, unsupervised, reinforcement
- The ML workflow — from data to deployment
- Industry use cases across healthcare, finance, and e-commerce
Module 2 — Python Programming Foundations
- Python basics — data types, control structures, functions
- Working with NumPy arrays and Pandas dataframes
- Data visualization using Matplotlib
- Libraries essential for machine learning
Module 3 — Data Handling & Preprocessing
- Working with real datasets — cleaning and structuring
- Handling missing values and outliers
- Encoding, normalization, and feature engineering
- Train-test splitting and data pipelines
Module 4 — Supervised Learning
- Linear Regression and Logistic Regression
- k-Nearest Neighbours (k-NN) and Decision Trees
- Bias-variance tradeoff and overfitting
- Model evaluation — accuracy, precision, recall, F1-Score
Module 5 — Unsupervised Learning
- K-Means Clustering and Hierarchical Clustering
- Principal Component Analysis (PCA)
- Dimensionality reduction techniques
- Anomaly detection and pattern discovery
Module 6 — Deep Learning & Neural Networks
- Neural network architecture — layers, weights, activation functions
- Backpropagation and gradient descent
- Building models with TensorFlow and PyTorch
- Introduction to CNNs and NLP applications
Module 7 — Model Evaluation & Optimisation
- Confusion Matrix, ROC-AUC, and Cross-Validation
- Hyperparameter tuning techniques
- Ensemble methods — Random Forest, Gradient Boosting
Module 8 — AI Applications & Capstone Project
- AI in healthcare, finance, NLP, and computer vision
- Case studies from industry deployments
- Mini Project — build an end-to-end ML solution
- Capstone presentation to industry mentors
Career Outcomes
Frequently Asked Questions
This course is ideal for fresh graduates from IT, Engineering, or Science backgrounds, as well as working professionals looking to upskill into AI and data science roles. No prior programming experience is required — we start from the basics.
You will work with Python, NumPy, Pandas, Matplotlib, Scikit-learn, Jupyter Notebook, TensorFlow or PyTorch, and Google Colab — the same tools used by professional AI and ML engineers in industry.
Yes. IREZ Academy provides 100% placement assistance including career guidance, resume preparation, and interview support to help you land your first AI/ML role.
The program runs for 4 months of online live training followed by a 2-month internship with hands-on projects. The total cost is ₹ 35,000 — all inclusive, with no hidden fees.
Talk to Us
Ready to take the next step?
Speak to our course advisors today and find the right programme for your career goals.
Head Office:
3rd floor Ravi’s Arcade, Near Iron Bridge Kollam
Branch Office:
Kochi | Trivandrum | Thrissur | Calicut | Adoor
Email:
info@irez.in