Top Software Engineering Courses to Take in 2022

Top Software Engineering Courses to Take in 2022

Written by Jacq

December 6, 2021

The world is changing, and so is the demand for software developers. By next year, we can expect to see a shift in technology with artificial intelligence (AI), machine learning, and blockchain taking center stage. Software engineers will need to keep up with these advancements in order to stay relevant within the industry. So if you’re looking for career advice or just want some ideas on where to start your professional development journey, this blog post might be helpful! Here is a list of top courses that could help you get started:

Artificial Intelligence Graduate Program

This course, offered by the Stanford School of Engineering, is designed to provide the fundamentals and advanced skills of AI, including logic, knowledge, representation, probabilistic models, and machine learning. Among the prerequisites are programming experience in C++, linear algebra, statistics, and probability, as well as a Bachelor’s degree.

  • Experience Level: Intermediate
  • Certification: Yes (considered a Graduate Certificate)
  • Financial Aid Available: N/A
  • Approx. Time for Completion: 1-2 years average. 3 years maximum to complete

Blockchain: Foundations and Use Cases

This course, offered by Consensys Academy through Coursera, serves as an introduction to blockchain technology for both developers and non-developers. Aside from learning about what the technology comprises, you’ll also learn about the philosophy of blockchain and decentralization. This course will explore beyond bitcoin and into Ethereum and what modern blockchains can do.

  • Experience Level: Beginner
  • Certification: Yes 
  • Financial Aid Available: N/A
  • Approx. Time for Completion: 10 hours to complete

Become a Machine Learning Engineer by Kaggle – AWS 

The course is offered through Udacity in partnership with AWS. By the end of the course, you will have mastered the skills needed to become a successful ML engineer. Using Amazon SageMaker, learn the data science and machine learning skills required to develop and deploy machine learning models. Prerequisites include basic knowledge of machine learning algorithms and Python Programming.

  • Experience Level: Intermediate
  • Certification: Yes (Nanodegree)
  • Financial Aid Available: N/A
  • Approx. Time for Completion: 5 Months

So what does the future of software development in ten years look like? Artificial intelligence (AI), machine learning, and blockchain, and developers who are able to keep pace with these advancements will thrive. If you’re looking for career advice or just want some ideas on where to start your professional development journey, be sure to follow our blog; we’ll have more tips coming soon.

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