Learning Path

Module 1

Understanding problems and analytical thinking
Logical reasoning and structured decision-making
Creative thinking and innovative approaches
Troubleshooting and solution-oriented mindset
User-centric design and ideation practices

Module 2

Introduction to AI and machine learning concepts
Understanding the evolution of intelligent systems
Key terminologies across data and AI domains
Emerging trends and applications in modern AI
Ethical considerations in AI-driven solutions
Programming foundations for AI development

Module 3

Working with structured and unstructured data
Data manipulation and transformation concepts
Exploratory analysis and pattern identification
Foundational statistical concepts for ML
Data cleaning, preparation, and feature engineering

Module 4

Overview of machine learning approaches
Predictive modeling and data-driven decision-making
Classification and regression techniques
Model evaluation and performance understanding
Clustering and pattern discovery methods
Model optimization and tuning strategies

Module 5

Fundamentals of neural networks
Learning mechanisms and optimization concepts
Deep learning architectures and workflows
Working with unstructured data such as images
Advanced model structures and feature extraction

Module 6

Text data processing and language understanding
Representation and transformation of textual data
Sequence modeling and contextual learning
Introduction to generative and advanced AI models
Recommendation systems and intelligent applications

Module 7

Deploying AI models into real-world applications
End-to-end lifecycle management of ML systems
Integration of models with applications
Cloud computing concepts for scalable AI solutions
Modern deployment and infrastructure practices

Module 8

Problem identification and solution design
Data preparation and model development workflow
Model evaluation and validation approaches
Deployment and real-world implementation
Insight presentation and solution storytelling

Tools Covered

Scholarship Test

ELECTIVES

Select an elective that aligns with your career goals and future aspirations, whether you’re stepping into the AI field or advancing your professional expertise:

Agentic AI for Professionals
AI for Managers
Internship

Elgibility

The program is open to aspiring professionals or working professionals having:

Hold a Bachelor’s degree in any discipline with proficiency in computers and statistics.
IT professionals seeking to gain AI/ML expertise and advance as AI/ML specialists.
Professionals seeking to upskill and apply AI/ML in strategic decision-making.

* Please note, the ICT Academy of Kerala reserves the right to cancel the candidature if found ineligible at any point.

Highlights

IPTIF Certification upon successful completion
5-Day Campus Immersion at IIT Palakkad Technology iHub guided by IPTIF faculty.
Career transition support through mentoring, industry guidance, and placement assistance.
Live online sessions with Flexible weekend learning for enhanced work–study balance.
9 months of premium access to LinkedIn Learning for continuous upskilling.