Institute of AI & ML

Artificial intelligence & machine learning

Hands-on training in AI, ML, deep learning, and MLOps — from foundations to deployment on real datasets and cloud platforms.

Course outline

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COURSE

This course provides comprehensive, hands-on training in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and MLOps. It will equip you with the skills to build, deploy, and optimize AI/ML models using real-world datasets and cloud platforms.

Deliver a strong foundation in AI, ML, & Deep Learning with a focus on real-world application.
Build proficiency in deploying models on cloud platforms for performance optimization.
Introduce key MLOps tools to manage and scale AI/ML model lifecycles.
Provide practical experience through end-to-end AI/ML projects.
Cover ethical considerations in AI/ML implementation.

What you will learn?

Master AI/ML project lifecycle from ideation to deployment.

Design and execute data pipeline and AI/ML pipeline.

Utilize cloud resources to develop & deploy AI/ML projects.

Fine tune and optimize AI/ML models

Skillset you will acquire

AI Algorithms

ML Algorithms

Data Analysis & Analysis

Python Programming

MLOps

Data pipeline

Cloud Services

Soft skills overview

Master communications, collaboration, and problem-solving skills required for modern tech roles.

Practical experience in professional environments via mock interviews and real-world scenarios.

Learn how to effectively present and collaborate in team environments.

Eligibility & pre-requisites

To succeed in this course, students should have the following foundational knowledge and skills:

Basic understanding of mathematics, especially:

Linear Algebra
Arithmetic operations
High-school level probability and statistics

Introductory awareness of AI and ML concepts (recommended but not mandatory)

Basic knowledge of Python programming language

Course outline