Top Deep Learning Courses With Certification

Deep learning is a subset of Machine learning concerned with algorithms inspired by the brain’s structure and function, known as artificial neural networks. Although it is an emerging field, deep learning applications are rapidly gaining popularity in the industry. 

Making a profession in deep learning is highly promising for individuals, as there is an ever-expanding scope of employment opportunities across multiple industries like BFSI, hospitality, retail, manufacturing, energy, cybersecurity, and agriculture, like Food and Drug Administration (FDA), Pinterest, Facebook- chatbot army, Twitter, Google – Neural Networks and Machines That Dream, Edgecase, Baidu, and HubSpot to name a few.  

While acquiring theoretical knowledge is vital to begin your deep learning journey, it isn’t enough – you must also be capable of putting your knowledge to the test. If you wish to carve a niche for yourself in the deep learning domain,  you must build a highly refined skill set. 

Enrol for the Machine Learning Course from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career.

The best way to go about upskilling is to enrol in online deep learning courses and certification programs. Since these programs have a standardised curriculum and a hands-on approach to learning, learners can gain theoretical and practical skills.

Here, we have prepared a list of the best online deep learning courses for you that are available and are brought to you by:

1. upGrad
2. Linkedin
3. Microsoft

Deep Learning Courses

upGrad provides you with a range of industry-specific courses ranging from Data Science and Deep Learning to DBA, MBA, and Business analytics

1. Executive PG Program in Machine Learning and Deep Learning with IIIT B

upGrad offers this online course that’ll help you master exploratory data analysis, regression analysis, unsupervised learning, neural networks, gesture recognition & much more in just six months! 

The course is designed for working professionals. It includes 5+ industry projects along with case studies and assignments. The course covers topics like exploratory data analysis, regression analysis, unsupervised learning, neural networks, gesture recognition, and much more. 

Each learner enjoys one-on-one personalized mentorship from industry experts and trained instructors. Not just that, students also get 360-degree career support from a dedicated student success mentor and placement assistance.

Minimum Eligibility

A bachelor’s degree with 50% or equivalent passing marks.

Who is this Course For?

Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals.

2. Executive PG Program in Machine Learning and Natural Language Processing with IIIT B

upGrad offers this online course that’ll help you master Naive Bayes, Tree Models, Unsupervised Learning, Lexical, Syntactic & Semantic Processing, Building a Chatbot within just six months. This course is designed for working professionals, and it includes industry projects, case studies, and projects.

The course covers topics like Naive Bayes, tree models, unsupervised learning, lexical, syntactic & semantic processing, building a chatbot, and much more. Each learner enjoys one-on-one personalised mentorship from industry experts and trained instructors. This course also promises 360-degree career support and placement assistance.

Minimum Eligibility

Bachelor’s degree with 50% or equivalent passing marks.

Who is this Course For?

Data Scientist, Data Engineer, Machine Learning Engineer, Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals.

3. Executive PG Program in Machine Learning and Artificial Intelligence with IIIT Bangalore

upGrad offers this online course that’ll help you master Data Science Tool Kit, Statistics and Exploratory Data Analysis, Machine Learning, Natural Language Processing, Deep Learning, Reinforcement Learning, and Deployment and Capstone Projects in just 12 months!

This upGrad course is designed for working professionals, and it includes 30+ case studies and assignments. Apart from personalised mentorship, you will also enjoy 360-degree career support and placement assistance from upGrad.

Minimum Eligibility

Bachelor’s degree with 50% or equivalent passing marks.

Who is this Course For?

Data Scientist, Data Engineer, Machine Learning Engineer, and Software Engineers.

On course completion, you will receive a PG certificate from IIIT Bangalore for each of these courses. These certifications will make you ready for roles like Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist, and Software Engineer.

Apart from upGrad, you can also try data analytics courses offered by LinkedIn, Microsoft, and Google AI. 

4. Applied Machine Learning: Algorithms Online Class (LinkedIn)

This course is divided into two instalments, both facilitated by Derek Jedamski, a skilled Data Scientist specialising in Machine Learning. The course also includes seven-chapter quizzes to test your knowledge.

The first instalment in the two-part Applied Machine Learning series, the foundations of machine learning, from exploratory data analysis to evaluating a model to ensure it generalises to unobservable examples. Instead of zeroing in on any specific machine learning algorithm, the focus of the course is on giving the tools to solve nearly any kind of machine learning problem efficiently.

The second part of the series covers the architecture by exploring various algorithms, from logistic regression to gradient boosting, and teaches the setting up a structure that acts as a guide by picking the best one for the problem at hand.

5. Master the Fundamentals of AI and Machine Learning Learning Path (LinkedIn) 

After this course, you’ll have expertise over the concepts and future directions of technologies like artificial intelligence and machine learning. You’ll be well equipped to make well-informed decisions and contributions in your work environment.

This course will help you gain a clear and detailed understanding of how AI and machine learning work and help you in learning how leading companies are using AI and machine learning to change their way of business and how the next generation of thinking about AI is addressing issues of accountability, security, and explainability.

This course includes nine topics, these are:-

1. AI Accountability Essential Training
2. Artificial Intelligence Foundations: Machine Learning
3. Artificial Intelligence Foundations: Thinking Machines
4. Artificial Intelligence Foundations: Neural Networks
5. Cognitive Technologies: The Real Opportunities For Business
6. AI The LinkedIn Way: A COnversation With Deepak Agarwal
7. Artificial Intelligence For Project Managers
8. Learning XAI: Explainable Artificial Intelligence
9. Artificial Intelligence For Cybersecurity 

6. Create machine learning models – Learn (Microsoft)

Machine learning is the foundation for predictive modelling and AI. Learning the core principles of machine learning and how to use the standard tools and frameworks to train, evaluate, and use machine learning models. 

To be eligible for this course, one is required to have knowledge of basic mathematical concepts. Some experience with Python is also beneficial. The course is divided into five modules, these are:

• Explore and analyse data with Python
• Train and evaluate regression models
• Train and evaluate classification models
• Train and evaluate clustering models
• Train and evaluate deep learning models

7. Google Developers Machine Learning Crash Course (Google AI)

This course is a self-study guide for aspiring machine learning practitioners. This course is beginner-friendly. This machine learning crash course features a series of lessons with video lectures. These lectures are conducted by google researchers, real-world case studies, and hands-on practice exercises. It has 25 lessons and over 30 exercises.

Machine learning crash course doesn’t require any prior knowledge in machine learning. However, to understand the concepts presented and complete the exercises, it is recommended that students meet the following prerequisites:

• You must be comfortable with variables, linear equations, graphs of functions, histograms, and statistical means.
• You should have some experience programming in Python because the programming exercises are in Python. 

8. Advanced Certificate Programme in Machine Learning with IIIT Delhi

The 7-month course offers students an opportunity to build conceptual knowledge of machine learning subjects like Deep Learning, Unsupervised Learning, Supervised Learning, Large Scale Machine Learning, Querying and Indexing, and Data Streams. It covers interactive lectures and weekly doubt clearing sessions by the world-renowned IITD faculty who expose students to industry-relevant case studies and projects to develop practical competence in designing and implementing ML algorithms. 

Minimum eligibility

Applicants should have a minimum of a Bachelor’s degree in

Engineering, Science or Commerce with 50% aggregate passing marks. 

Having a background in programming will help clear upGrad’s 40-minute entrance test with ease. Take the test now to evaluate your score and eligibility. 

Who is this course for?

• Freshers 
• Mid-Level Managers (1 to 10 years of experience)
• Senior Executives (10+ years of experience)

Conclusion

The future is artificial intelligence and machine learning. No wonder why companies are always on the lookout for machine learning professionals who can help them take the lead, leaving their competitors behind. Acquiring machine learning and deep learning skills will enable you to fit in the industry that’s continually experimenting with new-age technologies. Not to forget, you will also earn hefty annual packages!

If you’re interested to learn more about Deep Learning Techniques, machine learning, check out IIIT-B & upGrad’s Executive PG Program in Machine Learning & AI which is designed for working professionals and offers 450+ hours of rigorous training, 30+ case studies & assignments, IIIT-B Alumni status, 5+ practical hands-on capstone projects & job assistance with top firms.

If you’re interested in expanding your skills and knowledge about deep learning, we hope this list of best deep learning courses offers you a sense of direction!