Top 10 Applied for AI and ML Courses Beginners Should Take Up

In this article, you will know about the top 10 applied for AI and ML courses beginners should take up

AI and ML have numerous applications, from self-driving cars to natural language processing, to computer vision. Artificial intelligence/machine learning is a useful skill to keep under your belt, especially since it was all the rage right now. ML is one branch of AI that deals with learning from large amounts of data. One of these courses, certifications, or training programs will help you gain proficiency and prepare you for a promising career in artificial intelligence and machine learning.

Certification in Artificial Intelligence and Machine Learning courses by Imarticus Learning: This program has been designed with the E&ICT Academy, IIT Guwahati, and industry leaders to provide the best learning outcome to aspiring Artificial Intelligence and Machine Learning learners. This 9-month extensive program will help you prepare for the Data Analyst, MLEngineer, and AI Engineer roles.

Introduction to Self-Driving cars by the University of Toronto: In this course, you'll learn all about the terminology, design considerations, and safety assessment of self-driving cars. Additionally, you should have programming experience in Python 3, Statistics, Calculus, and Physics. You will also need specific hardware and software specifications which you can find in the course link.

Cutting-Edge AI &ML curriculum &certification by E&ICT academy, IIT Guwahati: Master the skills of Machine Learning and Artificial Intelligence through the most relevant curriculum designed by E&ICT Academy, IIT Guwahati, and leaders from the industry. Boost your career with this globally-recognized certification.

Convolutional Neural Networks by DeepLearning.AI: This is the best applied AI / ML course that goes to Convolutional Neural Networks by DeepLearning.AI. Here you'll understand how computer vision has evolved and explored its exciting applications from autonomous driving to face recognition to reading radiology images and more.

Microsoft Azure AI Fundamentals AI-900 by Microsoft Azure: This course is intended for anyone interested in preparing for the Certified AI-900 Microsoft Azure Artificial intelligence Fundamentals Exam. This program consists of 5 courses to help prepare you to take the certification exam.

Applied Machine Learning in Python by the University of Michigan: This beginner-friendly course teaches you the machine learning techniques and concepts needed for everyday work. To be successful in this course, you will need to know how to program in Python and be familiar with libraries like pandas, matplotlib, etc.

Introduction to Computer Vision by Georgia Institute of Technology: This content-packed course will give you insights into the fundamentals of analyzing images and extracting information from images. To take this course, you'll need to know some data structures and have a good working knowledge of MatLab and/or Python with NumPy.

Introduction to Applied Machine Learning by Alberta Machine Intelligence Institute: This course will focus less on building new algorithms or proving theorems, favoring instead applying machine learning solutions to real-world problems. You'll be introduced to key terms and will learn how to come up with good machine learning problems.

Fundamentals of Machine Learning for Healthcare by Stanford University: Machine learning and AI hold the potential to revolutionize healthcare. This course covers the principles and concepts of machine learning in healthcare, including ML, DL, and neural networks, all through the lens of applications in medicine.

Machine Learning Operations Fundamentals by Google: In this course, you'll learn about the MLOps and you'll get a high-level overview of machine learning from an operations perspective from defining the problem to the solution. As this course is a Google course, you'll learn about all the ins and outs of Google Cloud and its various services more specifically, its AI Platform.