The rising interest in AI in recent years has inspired many to seek knowledge and skills in this domain. This article discusses some beginner-friendly AI courses for those aiming to shift their careers or enhance their abilities.
Firstly, “Google AI for Anyone” is designed for beginners, introducing AI and its real-world applications like recommender systems and self-driving cars. Various machine learning algorithms are also explored in this course.
Harvard University’s “Introduction to Artificial Intelligence with Python” delves into foundational AI notions and algorithms. It includes a variety of topics such as graph search algorithms and large language models, all supported by hands-on projects.
The “IBM AI Developer Professional Certificate” is a comprehensive course explaining the basics of software engineering and AI, with a focus on emerging technologies like generative AI. Learning how to create generative AI apps and chatbots using Python and Flask, and how to utilize tools like ChatGPT and Google Gemini, are some of the main topics covered.
The “AI For Everyone” course from DeepLearning.AI, tutored by Andrew Ng, operates on elementary AI terminology and potential applications, guiding participants on how to apply AI to alleviate organizational issues.
The “AI Foundations for Everyone Specialization” course by IBM provides a solid understanding of AI and its applications across different industries. As a final project, students are required to create, test and implement a Watson AI-operated customer service chatbot on a website.
DeepLearning.AI’s “Machine Learning Specialization”, also taught by Andrew Ng, focuses on the core concepts of machine learning and the ways to design real-world AI applications. The curriculum includes supervised and unsupervised learning algorithms and guides on building neural networks using TensorFlow.
“Machine Learning for All” is a course that introduces machine learning with no programming prerequisite and demonstrates how to use a non-programming based platform to develop a model.
“Generative AI for Everyone” explains the basics of generative AI while discussing its common use cases, potential opportunities and risks associated with it.
“Generative AI: Prompt Engineering Basics” teaches how to unlock the potential of generative AI models using prompt engineering. Some commonly used tools for prompt engineering are also discussed.
Finally, the “Introduction to Generative AI” course gives an overview of generative AI and its uses, highlighting how it differs from traditional machine learning methods and how GenAI apps can be developed.
It’s important to note that the article contains some referral/affiliate links related to these courses. For further recommendations, readers can suggest courses by emailing the provided contact.
