AI & MACHINE LEARNING MASTERCLASS: A Step-by-Step Guide from Zero to Pro

In this course, you'll embark on a journey through the essential principles of machine learning, starting with an introduction to its history and significance, and exploring the different types of learning including supervised, unsupervised, and reinforcement learning.
Format

Online
Course

Modules

6

Assessment Type

Continuous Assessment and MCQ

Duration

5 - 6 Hours

Prerequisite

Nil

Price

$49.99

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INTRODUCTION

In this course, you'll embark on a journey through the essential principles of machine learning, starting with an introduction to its history and significance, and exploring the different types of learning including supervised, unsupervised, and reinforcement learning. You'll delve into practical implementations of classification and regression, learning to solve real-world problems with cutting-edge techniques.

LEARNING OUTCOMES

Upon completion of this training course participants will be able to:

  • Design and Implement ML Models
  • Solve Real-World Problems
  • Make Data-Driven Decisions
  • Advance in Their Careers
  • Lead and Innovate

THE KEY SKILLS AND KNOWLEDGE YOU WILL LEARN

  • Module 01: Introduction to ML and Its Applications
  • Module 02: Basic Concepts of Machine Learning
  • Module 03: Classification Algorithms
  • Module 04: Regression Algorithms
  • Module 05: Neural Networks
  • Module 06: Final Project (Recommendation System)

TARGET AUDIENCE

1) Individuals looking to start a career in data science and machine learning
2) Professionals who want to integrate machine learning
3) Analysts aim to enhance their skill set with machine learning
4) University students and researchers
5) Business professionals and managers

Frequently asked questions

What are the take-home materials after the course?

You will receive downloadable course materials, including lecture notes, practical coding examples, datasets for practice, and recorded video lessons for lifetime access.

Is a certificate of completion provided after the course?

Yes, you will receive a certificate of completion upon successfully finishing the course, which includes your name, course title, and a unique verification code.

What is the validity of the training certificate?

The training certificate is valid for a lifetime and can be used to showcase your skills to employers or include in your professional portfolio.

What are the career paths or opportunities after completing this course?

This course prepares you for roles such as Data Scientist, Machine Learning Engineer, AI Specialist, Business Intelligence Analyst, and Software Developer.

What are the other courses related to this course?

Related courses include Deep Learning with TensorFlow, Python for Data Science, Big Data Analytics, and Natural Language Processing Fundamentals.

What are the key skills and knowledge that will be acquired after completing this course?

You will learn Python programming, machine learning algorithms, neural networks, data preprocessing, model evaluation, and deployment of AI solutions in real-world projects.

How long will it take me to complete the course?

The course is self-paced and can be completed in approximately 8–12 weeks with 6–8 hours of study per week.

What is the job outlook for the skills learned in this course through 2030?

The job outlook is highly promising, with AI and machine learning roles projected to grow by over 30% annually through 2030, driven by increasing demand for automation and data-driven solutions.

What are the job roles related to this course?

Relevant job roles include:
  • Data Scientist
  • Machine Learning Engineer
  • Artificial Intelligence Specialist
  • Business Intelligence Analyst
  • Research Scientist
  • AI Consultant

Course contents

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