Top 5 Courses For Artificial Intelligence 2024 – Get the Best fat paying job

Are you intrigued by the rapid advancements in artificial intelligence (AI) and want to embark on a journey to master this exciting field? Whether you’re a beginner looking to grasp the basics or an experienced professional seeking to stay ahead, enrolling in a well-structured AI course can be the key to unlocking your potential. In this article, we’ll check the top 5  courses for artificial intelligence that cater to various skill levels and learning preferences.


Top 5 Courses For Artificial Intelligence

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What is AI?

AI, or Artificial Intelligence, refers to the simulation of human-like intelligence in machines. It involves the development of computer systems that can perform tasks that typically require human intelligence, such as learning from experience, recognizing patterns, making decisions, and solving problems. AI encompasses various subfields like machine learning, where algorithms allow computers to learn from data, and natural language processing, which enables machines to understand and interact with human language. AI technology finds applications in diverse areas, from self-driving cars to virtual assistants, healthcare diagnostics, and more, transforming industries and shaping the future of technology.

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Prerequisites to learn AI:

There are some prerequisites to start learning AI. But we can go for the courses for these as well if you are a beginner.

-Linear Algebra



Top 5 Courses For Artificial Intelligence

So what are the best courses on artificial intelligence? See below for the list of Best AI courses online. Get enrolled yourself in any one.


1.Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023]

This comprehensive course is available on Udemy

The price of the course is 3199 INR but you can get it as low as 389 INR during festive seasons.

This course has been rated Best Seller with a star rating of 4.5 with ~10Lakh Students enrolled which is quite huge.

This course includes:

-42 hours of on-demand video
-5 coding exercises
-39 articles
-9 downloadable resources
-Access on mobile and TV
-Certificate of completion

What you’ll learn

  • Master Machine Learning in Python & R
  • Have a great intuition of many Machine Learning models
  • Make accurate predictions
  • Make a powerful analysis
  • Make robust Machine Learning models
  • Create strong added value for your business
  • Use Machine Learning for personal purposes
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem


2. IBM Applied AI Professional Certificate (6-course series)

This course is available on Coursera

This course is for the beginner level and has 26,176 students already enrolled and has been given a star rating of 4.6.

The course is completely technical.

You can finish the course in 1month and need to pay ₹3,198/m or for 3 months at ₹2,132/month (Total ₹6,397) or for 6 months at ₹1,599/month (Total ₹9,596)

What you’ll learn:

  • Understand the definition of AI, its applications and use cases, and explain terms like machine learning, deep learning, and neural networks

  • Create AI chatbots and virtual assistants without any programming and deploy them on a website

  • Build AI-powered solutions using IBM Watson AI services, APIs, and Python with minimal coding

  • Apply computer vision techniques using Python, OpenCV, & Watson and develop custom image classification models and deploy them to the Cloud


3.AI For Everyone

This course is available on Coursera.

This course is for the beginner level and has 1,033,759 students already enrolled and has been given a star rating of 4.8 which is quite impressive.

There are 4 modules in this course

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take.

In this course, you will learn:

– The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science

– What AI realistically can–and cannot–do

– How to spot opportunities to apply AI to problems in your organization

– What it feels like to build machine learning and data science projects

– How to work with an AI team and build an AI strategy in your company

– How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.


4. Professional Certificate in Computer Science for Artificial Intelligence (₹33,500)

This course is available on Edx 

The level of the course is intermediate.

This is a 5-month program.

What you will learn:

  • A broad and robust understanding of computer science and programming
  • Graph search algorithms
  • Reinforcement learning
  • Machine learning
  • Artificial intelligence principles
  • How to design intelligent systems
  • How to use AI in Python programs


5. Artificial Intelligence Nanodegree

This course is available on Udacity

This is of Begineer-intermediate level with a rating of 4.8.

The cost is ₹22849/month or ₹58257 for 3 months.

Prerequisite knowledge: This program requires experience with linear algebra, statistics, and Python (including object-oriented programming).

What you will learn:
  • Introduction to Artificial Intelligence
  • Classical Search
  • Automated Planning
  • Optimization Problems
  • Adversarial Search
  • Fundamentals of Probabilistic Graphical Models

What should I study for AI? 

AI is multidisciplinary, so adapt your studies based on your interests – be it robotics, computer vision, healthcare, or finance.

To excel in AI, consider a blend of foundational and specialized areas. Start with:

  1. Mathematics: Focus on linear algebra, calculus, and probability. These concepts underpin AI algorithms.
  2. Programming: Learn languages like Python and libraries like TensorFlow and PyTorch for implementing AI models.
  3. Machine Learning: Understand algorithms, supervised/unsupervised learning, and model evaluation.
  4. Deep Learning: Dive into neural networks, convolutional networks, and recurrent networks for advanced pattern recognition.
  5. Natural Language Processing (NLP): Study language models, sentiment analysis, and text generation.
  6. Data Handling: Master data preprocessing, cleaning, and feature engineering.
  7. Ethics and Bias: Explore the ethical implications of AI and ways to mitigate bias.
  8. AI Applications: Familiarize yourself with real-world AI applications like image recognition, recommendation systems, and chatbots.
  9. Projects: Apply your knowledge through hands-on projects to build a strong portfolio.
  10. Continuous Learning: AI is evolving, so stay updated through research papers, online courses, and AI conferences.

Where do I start in AI?

AI is a journey, so take it step by step and enjoy the process of acquiring new skills and knowledge. Starting your journey in AI can be exciting. Follow these steps to begin:

  1. Learn the Basics: Start with introductory resources. Online platforms like Coursera, edX, and Khan Academy offer free or low-cost courses on AI fundamentals.
  2. Math and Programming: Strengthen your math skills in linear algebra, calculus, and probability. Learn programming languages like Python, essential for AI development.
  3. Choose a Path: Decide on a specific AI area like machine learning, deep learning, NLP, or robotics. This narrows your focus and guides your learning.
  4. Online Courses: Enroll in reputable online courses such as Andrew Ng’s “Machine Learning” on Coursera or Google’s “Machine Learning Crash Course.”
  5. Hands-on Practice: Apply knowledge by working on projects. Use datasets from Kaggle or build simple AI models using libraries like TensorFlow.
  6. Read Research Papers: Delve into AI research papers to understand cutting-edge concepts and developments.
  7. Join Communities: Engage with AI communities like Reddit’s r/MachineLearning or attend local AI meetups to network and learn.
  8. Explore Specializations: As you progress, explore specialized areas like computer vision, reinforcement learning, or AI ethics.
  9. Online Resources: Utilize blogs, YouTube tutorials, and forums for additional insights and learning.
  10. Stay Curious: AI evolves rapidly. Stay curious, be persistent, and keep learning to stay up-to-date in this dynamic field.

Can I learn AI without coding?

You can start a fascinating journey of learning AI without prior coding experience. It’s like stepping into an uncharted world, where curiosity and determination are your guiding lights.

Imagine solving the mysteries of artificial intelligence, and understanding how machines perceive and reason, all without writing lines of code.

Explore AI’s impact on society, its ethical considerations, and the way it transforms industries. Delve into online courses that offer visual tools and user-friendly interfaces, making complex concepts accessible. Dive into topics like AI ethics, application possibilities, and the AI-driven future.

Your journey will be unique, embracing AI’s conceptual side. Don’t shy away from learning because of coding fears. Embrace the adventure, for AI’s beauty is not confined to lines of code but in the profound insights it offers into our world.



Embarking on an AI learning journey opens doors to innovation and growth. Whether you’re diving into machine learning or exploring AI’s ethical dimensions, the above mentioned Top 5 Courses For Artificial Intelligence offer a solid foundation. Embrace the AI revolution and shape the future!


  1. Q: Are these courses suitable for beginners? A: Yes, many of these courses offer beginner-friendly content to establish a strong AI foundation.
  2. Q: Can I take multiple courses simultaneously? A: While it’s possible, we recommend focusing on one course at a time for better understanding.
  3. Q: Are there free AI courses available? A: Yes, some platforms offer free introductory AI courses, but comprehensive courses often have associated costs.
  4. Q: Do I need a background in programming? A: Some familiarity with programming can be helpful, but introductory courses usually cover necessary programming concepts.
  5. Q: How can AI skills benefit my career? A: AI skills are highly sought after in various industries, enhancing career prospects and enabling you to work on cutting-edge projects.
  6. Q: Which artificial intelligence course is the best? In our opinion Udemy course – Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023] offers the best with least price and the latest technology.

2 thoughts on “Top 5 Courses For Artificial Intelligence 2024 – Get the Best fat paying job”

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