Tractica forecasts that annual worldwide AI and Machine Learning revenue will grow from $3.2 billion in 2016 to $89.8 billion by 2025. AI & Machine Learning is poised to unleash the next wave of digital disruption, and organizations can prepare for it now by taking up our courses in this field that cover a comprehensive range of topics from Machine Learning to Deep Learning.

AI & Machine Learning Master's Program

Turbocharge your learning with our custom-tailored master's programs

Our alumni work for awesome companies

Anuvrat Kulkarni

Anuvrat Kulkarni

Working at:

Leela Krishna

Leela Krishna

Working at:

Rajendra Kumar Rana

Rajendra Kumar Rana

Working at:

Need help finding your program

Request more information

{{ isB2BClient ? 'Work Email' : 'Email' }}*
Phone Number*

Inquiry for:

Write an optional message...
We are looking into your query.
Our consultants will get in touch with you soon.

A Simplilearn representative will get back to you in one business day.

All AI & Machine Learning Courses

Foundational AI & Machine Learning Courses

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence


This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics.

Know more

Advanced AI & Machine Learning Courses

Machine Learning

Machine Learning


Explore the concepts of Machine Learning and understand how it’s transforming the digital world. An exciting branch of Artificial Intelligence, this Machine Learning certification online course will provide the skills you need to become a Machine Learning Engineer and unlock the power of this emerging field.

Know more
Deep Learning with Keras and TensorFlow

Deep Learning with Keras and TensorFlow


This Deep Learning course with Tensorflow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer.

Know more

Frequently Asked Questions

  • What are AI and Machine Learning?

    Artificial intelligence (AI) refers to the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. 

    Machine learning is a specific form of AI that allows computers to learn and grow after they are introduced to scenarios in the form of data. Both of these areas offer promising career opportunities.

  • Which is the best foundation course in AI and Machine Learning for beginners?

    Here is the best foundation course in AI and Machine Learning for beginners:

  • Which are the best courses in AI and Machine Learning for intermediates?

    Here are some of the best AI and Machine Learning courses for intermediates:

  • Which are the advanced courses in AI and Machine Learning?

    Here are some of the best advanced-level masters courses in AI and Machine Learning:

  • What is the current state of the AI and machine learning job market?

    The AI job market is thriving and is estimated to hit $191 billion by 2024 globally. The growth of AI could create 58 million jobs across multiple industry sectors in the next few years, according to a report by the World Economic Forum. AI is already being used in several markets and it makes sense to upskill and embark on a career in AI. 

  • What are the top job titles in the field of AI and Machine Learning?

    Some of the most popular job roles in the field of AI and machine learning include: 

    • Machine Learning Engineer
    • Deep Learning Engineer
    • NLP Engineer
    • Artificial Intelligence Engineer
    • AI Architect
    • Technical Product Manager
    • Data Scientist 
  • What is the recommended career path for AI and Machine Learning aspirants?

    Professionals and students hoping to become AI Engineers should first start learning the basics of AI, statistical analysis, data modeling, and know at least one programming language such as Python or R. They should then move on to advanced areas like data analysis, data manipulation, Hadoop, and machine learning. Knowledge of deep learning and business intelligence tools like Tableau or Qlikview would further enhance your AI career. 

  • What is the average salary of AI and Machine Learning professionals?

    Machine Learning Engineers have lucrative salary prospects globally, earning an average of $114,000 in the United States. With experience and in-depth knowledge, machine learning engineers can earn as high as $150,000 per year. 

  • Which are the top industries suitable for AI and Machine Learning professionals?

    Industrial sectors such as information technology, FinTech, healthcare, BFSI, and ecommerce are best suited for AI professionals.

  • Which are the top hiring companies for AI and Machine Learning professionals?

    Professionals skilled in AI and Machine Learning are highly sought after in a wide spectrum of companies, along with tech giants like Google, Accenture, IBM, Amazon, and Microsoft. 

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.