There is no doubt that artificial intelligence has become an increasingly specialised field that requires specific skills, knowledge, and training. So how do you know if your AI education will be relevant ? This massive list of top AI courses and degrees provides a great starting point for anyone looking to master the latest and most sought-after AI skills.
In the past, engineers and programmers were the only ones who could understand and design cybernetic systems like computers. But times have changed. While software developers are still highly required for applications, robotics and cybernetics are turning to be more specialized in their own ways and hence people with a combination of computer science degree or computer engineering degree along with some background in electronics are much needed nowadays.
Particularly in the field of Artificial Intelligence (AI), engineers with a strong background in image recognition or pattern recognition would be very much required for building the next generation AI software.
The profile of potential AI professionals may vary from medical equipment’s to machine vision, security and surveillance to mobile phones, automobiles, robots and home appliances etc.
Here below are well researched Advance Artificial Intelligence (A.I) credential or courses that you can add in your portfolio that will boost your profile.
1 . AI Applications for Growth by Northwestern Kellogg
Key outcome :
With a practical, behind-the-scenes look at how established firms, as well as start-ups, are using AI to disrupt industries and gain a competitive advantage, this programme will push your thinking and broaden your perspectives.
2. Designing and Building AI Products and Services by MIT xPRO
Key outcome :
If you’re a technical product leader, technology expert, technology consultant, or entrepreneur looking to improve your understanding of AI technology principles and tools, as well as explore various design processes involved in AI-based products, this 8-week course is for you. Calculus, linear algebra, statistics, and probability knowledge, as well as basic Python familiarity, are advantageous.
3. IBM AI Engineering Professional Certificate by IBM in Coursera
Key outcome :
Using programming languages like Python, you’ll learn the fundamentals of machine learning and deep learning, including supervised and unsupervised learning. Object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers will all be addressed using popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow.
4. Artificial Intelligence Engineer Certification by ARTiBA
Key outcome :
The AIE™ covers each function of Artificial Intelligence, including Machine Learning, Regression, Supervised Learning, Unsupervised Learning, Reinforced Learning, Natural Language Processing, Cognitive Computing, and Deep Learning, allowing you to kickstart your career in the worldwide AI sector.
5. Microsoft Certified: Azure AI Engineer Associate
Key outcome:
Candidates for the Azure AI Engineer Associate certification create, manage, and deploy AI systems using Azure Cognitive Services and Azure Applied AI.
Participating in all phases of AI solution development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring—is one of their tasks.
6. Artificial Intelligence Graduate Program by Stanford School of Engineering
Key outcome:
The Artificial Intelligence Graduate Program offers classes in logic, knowledge representation, probabilistic models, and machine learning that provide a foundation and advanced abilities in the principles and technologies that underpin AI. Students can study topics in depth, with courses in robotics, vision, and natural language processing accessible.
Artificial intelligence (AI) seems to be taking over everything. Although the future is still uncertain, we are already seeing how AI can make user experience better. How will the AI credential market evolve? In five years, we expect AI to become more personal and influential in our everyday lives. We believe a greater focus on skills and experiences that can help grow the field will occur.
This is not a complete list but just the top of the iceberg. These courses are currently available and certificate programs can be completed in a year or less. There’s also a wide variety of online classes that take as little as one month to complete. his is great if you want to increase your knowledge for career advancement now and maybe add a certification to your resume. Hope you liked this article at MLDots.
