The popularity of ai has skyrocketed in recent years and new avenues have been opened with the rise in the use of large language models (LLMs). Having knowledge of ai has become quite essential now as recruiters are actively looking for candidates with a strong foundation in it. This article lists the best ai courses that beginners can take to help them make a change in their careers and gain the necessary skills.
<h3 class="wp-block-heading" id="h-google-ai-for-anyone”>Google ai for everyone
“Google ai for Anyone” is a beginner course that teaches about artificial intelligence (ai). The course covers how ai is used in real-world applications such as recommendation systems, self-driving cars, etc., and also enables students to understand machine learning algorithms, including supervised, unsupervised, boosting, etc.
Introduction to artificial intelligence with Python
This course has been designed by Harvard University and explores the fundamental concepts and algorithms of modern artificial intelligence. It covers various topics such as graph search algorithms, classification, optimization, machine learning, and large language models with the help of hands-on projects, allowing students to incorporate them into their own Python programs.
<h3 class="wp-block-heading" id="h-ibm-ai-developer-professional-certificate”>IBM ai Developer Professional Certificate
This is a comprehensive course that introduces the fundamentals of software engineering and artificial intelligence and also covers some of the emerging technologies such as generative ai. Teaches how to build ai-powered generative apps and chatbots and deploy ai applications using Python and Flask. The course also teaches how to use tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM Watson Code Assistant.
<h3 class="wp-block-heading" id="h-ai-for-everyone”>ai for everyone
“ai for Everyone” is designed by DeepLearning.ai and taught by one of the most renowned ai instructors: Andrew Ng. The course covers common ai terminology, including neural networks, machine learning, deep learning, etc., and what ai can and cannot do. It also teaches how to detect opportunities to apply ai to organizational problems.
<h3 class="wp-block-heading" id="h-ai-foundations-for-everyone-specialization”>Specialization in ai Fundamentals for everyone
This IBM course has been designed to provide a solid understanding of what ai is and its applications in various industries. It also covers topics such as generative ai and its applications, as well as rapid engineering. The course consists of numerous practical exercises and as a final project, students are required to develop, test and deploy a customer service chatbot powered by Watson ai on a website.
Specialization in machine learning
“Machine Learning Specialization” is another DeepLearning.ai course taught by Andrew Ng. Teaches the basics of machine learning and how to create real-world ai applications using them. The course covers numerous supervised and unsupervised learning algorithms and also teaches how to build neural networks using TensorFlow.
Machine learning for everyone
This course introduces machine learning without the need for programming. Explains the basics of machine learning and demonstrates how to use a non-programming platform to train a model.
<h3 class="wp-block-heading" id="h-generative-ai-for-everyone”>Generative ai for everyone
“Generative ai for Everyone” explains what generative ai is and what some of its common use cases are. It also covers the potential opportunities and risks posed by generative ai. The course also includes practical exercises that help students increase their learning.
<h3 class="wp-block-heading" id="h-generative-ai-prompt-engineering-basics”>Generative ai: Rapid Engineering Basics
This course teaches how to leverage rapid engineering to unlock the full potential of generative ai models. It covers the basics of rapid engineering, some of its common techniques and approaches, and commonly used tools for rapid engineering.
<h3 class="wp-block-heading" id="h-introduction-to-generative-ai“>Introduction to Generative ai
“Introduction to Generative ai” is an introductory-level microlearning course that explains the basics of generative ai. It covers how this technology is used, how it differs from traditional machine learning methods, and how we can develop our own GenAI applications.
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Shobha is a data analyst with a proven track record in developing innovative machine learning solutions that drive business value.
