The 9 Best AI Courses and Certification You Can’t Lose in 2022

Artificial intelligence (AI) is beyond the hype cycle. Adopting technology during the pandemic is worth watching.

With the economy at a record low, companies are struggling to get back to business and find new ways to be more efficient. When organizations are going through a frenzy and are facing a bandwidth squeeze, artificial intelligence is the right solution to all these problems.

Looking at the speed of accelerating artificial intelligence and automation in the business world, AI strategists are reshaping business models. Some predictions worth knowing:

  • According to Gus Walker, director of Veritone (products), by 2021, AI and machine learning experts in areas like banking, fintech, healthcare and public safety will have plenty of job opportunities.
  • Analytics Insight predicts that there will be more than 13 million robotics and cyber security jobs by 2023.
  • The Analytics Insight report also says that the disruptive technology market will be worth $ 1.9 billion by 2023.

Do you want to transform your AI career in 2021?

If you are interested in improving your skills in AI and machine learning, we have the right guide for you.

Below is a detailed list of the most recommended AI courses, certification programs and online training curated by experts worldwide.

1. AI for All by Andrew Ng – Coursera
If you’re looking to hone your skills while working in the AI field, this program may be your best bet. Covering basic and key terms in AI, the program helps you discover problems in your organization while providing the best solutions to solve them, and expand your knowledge of topics such as what AI can and can’t do .

This program is ideal for AI professionals who want to find a better technical perspective in the business world.


  1. Teaches you how to handle sensitive topics like ethical AI.
  2. Take the opportunity to work with the best AI teams and develop an AI strategy for your organization.
  3. Help build data science and machine learning projects.
  4. The course does not require any prerequisites, so is suitable for any ambitious AI professional of any level of experience.
  5. Duration: 4 weeks / 2 to 3 hours per week

Rating: 4.9 / 5

Website link:

2. AI Programming with Python – Udacity
AI programming with Python attracts candidates interested in learning the basics of AI. These include math (linear algebra, calculus), artificial intelligence programming tools (PyTorch, NumPy, and Python), and core techniques for neural networks (backloads and gradient descent).

Your one-stop program to learn everything you need to know about building your own AI applications.


  • Learn the basics of linear algebra – linear transformations, matrices, and vectors.
  • Fundamentals of Calculus – How to use the chain rule and how to plot derivatives.
  • Introductory Python Programming Course – This includes automation scripts and library access and ease of resolution.
  • Duration: 3 months / average 10 hours per week

Grade: 4.8 / 5

Website link:

3. IBM AI Engineering Professional Certificate – Coursera

IBM’s AI Engineering program consists of six different courses with in-depth hands-on experience in machine learning and the basics of deep learning. As well as practical courses, the course provides a clear understanding of the concepts of supervised and unsupervised engineering learning. Developed by IBM faculty, this course is designed to help potential AI professionals stay up to date with AI. After completing six IBM courses, candidates will receive a professional certificate.


  • Application of TensorFlow to industry problems – NLP processes, text analysis, use of multiple classifiers, and object identification.
  • Includes skills to expand data science and engineering learning tasks using Apache Spark specifically for large data sets.
  • Leverage machine learning and deep learning libraries – PyTorch, ScikitLearn, and SciPy.
  • Build, train, or use many types of transition networks, deep architecture, auto-coders, and regular networks.

Duration: 3 months

Rating: 4.7 / 5

Website link:

4. Machine Learning Engineer – Udacity

Udacity’s Machine Learning Engineer certification program provides advanced machine learning and algorithm study skills to candidates. The program also teaches candidates how to package and eventually use their engineering learning models. Amazon SageMaker is used to help candidates gain expertise in using machine learning models when evaluating their performance.

Not to mention, this program is perfect for students with engineering learning knowledge.

In partnership with Kaggle and Amazon Web Services, Udacity’s program is ideal for those who want to develop their engineering learning skills for existing industries that want to hire.


  • The program offers a capstone course where you can choose an engineering learning problem and solve it.
  • You will also have the opportunity to apply engineering learning to real-world tasks.
  • Easily acquire the basics of software engineering where you write production grade code
  • while practicing object-oriented programming.

Duration: 3 months / average 10 hours per week

Score: 4.85 / 5

Website link:

5. Deep Learning by Andrew Ng – Coursera
Andrew Ng’s AI course is ideal for professionals who want to stay ahead of their peers in 2021. The program of study consists of five courses. Throughout the course, you will cover topics such as deep learning and learn how to build neural networks as well as lead engineering learning projects.

In addition, you’ll gain the added benefit of real-world case studies and hands-on experience using Python concepts.


  • Learn different techniques for building models and solving complex real-world problems.
  • Gain extensive knowledge of RNNs, Dropout, BatchNorm, and Convolutional Networks.
  • Get the latest expert advice from world leaders and industry experts.
  • Participate in real life case studies from various industries – music production, healthcare,
  • natural language processing, autonomous driving, and sign language reading.

Duration: 3 months / 11 hours per week

Rating: 4.7 / 5

Website link:

6. Introduction to Machine Learning with PyTorch – Udacity
This certification is ideal for candidates with Python skills and candidates with no knowledge of engineering learning.

The program provides a learning structure, including supervised models, data cleaning, and machine learning algorithms. For each step, you can also use your skills in the project to enhance your skills through hands-on experience.

This ML program will keep you focused on your goals, allowing you to learn from the best mentors and teachers in the industry.


  • Learn about designing a network that can be trained with PyTorch.
  • This program teaches how to use supervised learning to build models.
  • You can also learn unsupervised learning methods for a variety of problem areas.
  • Duration: 3 months / average 10 hours per week

Score: 4.85 / 5

Website link:

7. Artificial TensorFlow – Coursera
The ideal certification for software developers with coding skills who want to build a career in AI.

These courses help you stay up to date by learning how to build scalable models that can be used to solve real-world problems, using TensorFlow to apply principles related to engineering learning. Upon completion of the program, candidates will be able to provide scalable solutions that can be used to solve complex problems in an organization.

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