COURSE

Introduction

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
Data Visualization Team Collaboration

What you will learn?

Master AI/ML project lifecycle from ideation to deployment.

Student Learning

Design and execute data pipeline and AL/ML pipeline.

Student Analyzing

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

Student Studying

Fine tune and optimize AL/ML models

Student with Data

Skillset you will acquire

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AI Algorithms

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ML Algorithms

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Data Analysis & Analysis

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Python Programming/p>

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MLOps

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Data pipeline

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Cloud Services

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Soft Skills Overview

Communication Icon

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

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

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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