AI has rapidly grown in popularity over the past few years, and the increasing use of large-scale language models (LLMs) is opening up new avenues. Having knowledge of AI is now extremely important as recruiters are actively looking for candidates with a strong foundation in AI. In this article, we list popular AI courses that beginners should take to change their career and acquire the necessary skills.
Google AI that anyone can use
Google AI for Anyone is a beginner's course to learn about artificial intelligence (AI). This course explains how AI is used in real-world applications such as recommender systems and self-driving cars, and provides students with a deeper understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement. will do so.
Introduction to Artificial Intelligence with Python
This course was designed by Harvard University and explores the fundamental concepts and algorithms of modern artificial intelligence. Topics such as graph search algorithms, classification, optimization, machine learning, and large-scale language models are covered through hands-on projects that students can incorporate into their own Python programs.
IBM AI Developer Professional Certificate
This is a comprehensive course that introduces the fundamentals of software engineering and artificial intelligence, and also covers some emerging technologies such as generative AI. Learn how to build AI-powered generative apps and chatbots, and deploy AI applications using Python and Flask. This course also teaches you how to use tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM Watson Code Assistant.
AI for everyone
“AI ForEveryone” is designed by DeepLearning.AI and taught by Andrew Ng, one of the most famous AI instructors. This course covers common AI terms such as neural networks, machine learning, and deep learning, and what AI can and cannot do. We also teach you how to find opportunities to apply AI to your organization's problems.
AI-based specialization for everyone
This course from IBM is designed to give you a solid understanding of what AI is and its applications in various industries. We also cover topics such as generative AI and its applications, prompt engineering, and more. This course has numerous practical exercises, and as a final project, students must develop, test, and deploy their Watson AI-powered customer service chatbot on a website.
Machine learning specialization
Machine Learning Specialization is another DeepLearning.AI course taught by Andrew Ng. We'll teach you the core concepts of machine learning and how to use it to build real-world AI applications. This course covers numerous algorithms for supervised and unsupervised learning, and also teaches you how to build neural networks using TensorFlow.
Machine learning for everyone
This course introduces machine learning without the need for programming. Learn the basics of machine learning and show how to train models using a non-programming-based platform.
Generative AI available to everyone
Generative AI for Everyone explains what generative AI is and common use cases. We also discuss the potential opportunities and risks posed by generative AI. This course also includes practical exercises to help enhance student learning.
Generative AI: Fundamentals of Rapid Engineering
In this course, you will learn how to leverage prompt engineering to unlock the full potential of generative AI models. Learn the basics of prompt engineering, some of its common techniques and approaches, and the tools commonly used for prompt engineering.
Generative AI overview
“Introduction to Generative AI” is an introductory-level microlearning course that explains the basics of generative AI. Learn how to use this technology, how it differs from traditional machine learning methods, and how to develop your own GenAI app.
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Shobha is a data analyst with a proven track record of developing innovative machine learning solutions that drive business value.
