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Free AI Courses 2024 (Updated)

The Best AI Courses from Beginner to Expert

Artificial Intelligence (AI) isn't futuristic anymore, it's here, shaping everything. Whether you're a curious beginner or a tech pro, mastering AI is key. The good news? You don't need a dime to get started!

Like many others in the world, when ChatGPT entered the world on November 30, 2022, we immediately signed up as a beta user and were blown away by its capabilities. Since then, lots have changed, and keeping on top of the latest Generate AI models and capabilities is an insurmountable task. As we offer a range of GTM consulting services leveraging the latest Generative AI models and prompting techniques, by default, we've curated a collection of free Generative AI courses that help us stay on top of this exciting technology.

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Unlock AI's Power: Your Guide to Free AI Courses (2024)

This free Generative AI course guide is designed to help you get ahead in the world of AI at no cost. Learn from the world's leading organisations leading the path towards AGI and start experimenting use cases in your organisation. This updated 2024 guide unlocks the best free AI and Generative AI courses, ranked from beginner-friendly to expert level. We'll break down each course, tell you how long it takes, and give you the links to dive right in. Ready? Let's go!

Level 1:  AI for Everyone
(No Tech Skills Needed!)

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AI for Everyone (DeepLearning.AI)

  • What it's about: This course, taught by AI pioneer Andrew Ng, demystifies AI for business professionals. It provides a clear understanding of what AI is, its capabilities, its limitations, and its potential impact on various industries. You'll learn how AI is being used in real-world applications, explore the ethical considerations surrounding AI, and gain insights into how to navigate AI projects within your organization. This course is perfect for anyone who wants to understand AI's role in business transformation, identify opportunities for AI implementation, and make informed decisions about AI adoption.

  • Time commitment: 10-15 hours

  • Get started: Learn more and sign-up here.

Elements of AI (University of Helsinki)

  • What it's about: This course is designed to make AI accessible to everyone, regardless of their technical background. It breaks down complex AI concepts into easily understandable terms, exploring the fundamental principles, common algorithms, and real-world applications of AI. You'll learn about machine learning, neural networks, and other key AI technologies, while also gaining an understanding of the ethical and societal implications of AI. This course is ideal for anyone who wants to gain a foundational understanding of AI, engage in informed discussions about its impact, and explore its potential applications in various domains.

  • Time commitment: 30-40 hours

  • Get started: Learn more and sign-up here.

Introduction to Artificial Intelligence (AI) (Intel)

  • What it's about: This course offers a high-level overview of the world of AI, covering essential concepts, diverse applications, and important ethical considerations. You'll delve into various AI subfields, including machine learning, deep learning, and computer vision, gaining a broad understanding of their functionalities and real-world use cases. This course is perfect for anyone seeking a comprehensive introduction to AI technologies, exploring areas for further learning, and engaging in informed discussions about the potential and challenges of AI.

  • Time commitment: 1-2 hours

  • Get started: Learn more and sign-up here.

Level 2: Level Up Your Skills (Tech Background Helps)

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Google Machine Learning Crash Course

  • What it's about: This course offers a high-level overview of the world of AI, covering essential concepts, diverse applications, and important ethical considerations. You'll delve into various AI subfields, including machine learning, deep learning, and computer vision, gaining a broad understanding of their functionalities and real-world use cases. This course is perfect for anyone seeking a comprehensive introduction to AI technologies, exploring areas for further learning, and engaging in informed discussions about the potential and challenges of AI.

  • Time commitment: 1-2 hours

  • Get started: Learn more and sign-up here.

Microsoft Learn AI Fundamentals

  • What it's about: This learning path offers a comprehensive introduction to the world of AI, covering fundamental concepts, essential terminology, and diverse real-world applications. Through interactive modules, quizzes, and hands-on exercises, you'll gain a solid understanding of key AI concepts and learn how they are applied in various domains. This course is perfect for anyone seeking a well-rounded introduction to AI, exploring different subfields, and identifying potential applications of AI in their field of interest.

  • Time commitment: 10-15 hours

  • Get started: Learn more and sign-up here.

IBM AI Foundations for Everyone (Coursera)

  • What it's about: This beginner-friendly specialization on Coursera explores the foundations of AI, covering essential concepts, algorithms, and applications across various AI subfields, including machine learning, deep learning, and natural language processing. Through practical exercises and case studies, you'll gain a hands-on understanding of how AI works and how it can be applied to solve real-world problems. This specialization is ideal for anyone who wants to build a solid foundation in AI, learn about different AI algorithms, and explore the practical applications of AI in various domains.

  • Time commitment: 30-40 hours

  • Get started: Learn more and sign-up here.

Fast.ai Practical Deep Learning for Coders

  • What it's about: This course offers a hands-on, practical approach to deep learning, emphasizing learning by doing. You'll dive straight into building real-world deep learning models using Python, gaining practical skills and techniques for developing and deploying deep learning applications. The course takes a top-down approach, starting with practical applications and gradually introducing theoretical concepts. This course is perfect for anyone who wants to learn how to build and deploy deep learning models for various tasks, including image classification, natural language processing, and time series analysis.

  • Time commitment: 40-50 hours

  • Get started: Learn more and sign-up here.

Machine Learning by Andrew Ng (Coursera) - Audit Version

  • What it's about: This highly acclaimed course, taught by Andrew Ng, provides a comprehensive introduction to the world of machine learning. While the full course requires a paid subscription, the audit version offers free access to video lectures, allowing you to learn from one of the leading experts in the field. You'll gain a deep understanding of machine learning fundamentals, explore various algorithms, and learn how to apply machine learning to real-world problems. This course is ideal for anyone who wants to gain a strong foundation in machine learning, understand the theoretical underpinnings of various algorithms, and explore the wide range of applications of machine learning.

  • Time commitment: 60-80 hours

  • Get started: Learn more and sign-up here.

Deep Learning Specialization by Andrew Ng (Coursera) - Audit Version

  • What it's about: This specialization delves into the exciting world of deep learning, covering advanced architectures and techniques that power many cutting-edge AI applications. The audit version provides free access to video lectures, allowing you to learn from Andrew Ng and explore the intricacies of deep learning. You'll learn about convolutional networks, recurrent neural networks, and other advanced architectures, gaining insights into how they are used for complex tasks such as image recognition, natural language processing, and machine translation. This specialization is perfect for anyone who wants to understand advanced deep learning architectures, learn how to build and deploy deep learning models for complex tasks, and explore the vast potential of deep learning in various domains.

  • Time commitment: 80-100 hours

  • Get started: Learn more and sign-up here.

Level 3: Master the Cutting Edge (Technical Expertise Recommended)

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Google AI Education

  • What it's about: This platform offers a vast library of courses covering a wide spectrum of AI topics, ranging from introductory concepts to advanced techniques. Whether you're a beginner looking to understand the basics or an experienced practitioner seeking to specialize in a specific area, Google AI Education provides a wealth of resources to support your learning journey. You can explore machine learning, deep learning, TensorFlow, AI ethics, and many other topics, choosing courses that align with your interests and skill level. This platform is ideal for anyone who wants to gain specialized knowledge and skills in specific AI subfields, build advanced AI models, and stay up-to-date with the latest advancements in AI.

  • Time commitment: Varies

  • Get started: Learn more and sign-up here.

Amazon Machine Learning University

  • What it's about: This platform provides in-depth courses on various machine learning and AI topics, with a focus on AWS services and real-world applications. You'll learn how to build and deploy sophisticated AI solutions on AWS, leverage AWS services for various machine learning tasks, and optimize AI models for performance and scalability. The courses cater to developers, data scientists, and researchers who are interested in building and deploying AI solutions using AWS infrastructure and services. This platform is perfect for anyone who wants to gain practical experience in building and deploying AI solutions on AWS, learn how to use AWS services for machine learning tasks, and optimize AI models for real-world applications.

  • Time commitment: Varies

  • Get started: Learn more and sign-up here.

NVIDIA Deep Learning Institute

  • What it's about: This institute offers courses on deep learning, computer vision, and accelerated computing, focusing on practical skills and industry applications using NVIDIA GPUs. You'll learn how to build and deploy high-performance deep learning models, leverage GPUs for accelerated computing, and apply deep learning to domains such as computer vision and natural language processing. These courses cater to developers, data scientists, and researchers who are interested in using NVIDIA GPUs for AI development and deployment. This institute is ideal for anyone who wants to gain hands-on experience in building and deploying deep learning models using NVIDIA GPUs, learn how to leverage GPUs for accelerated computing, and apply deep learning to various domains.

  • Time commitment: Varies

  • Get started: Learn more and sign-up here.

Microsoft Learn AI School

  • What it's about: This platform offers a variety of courses on AI technologies, covering machine learning, computer vision, natural language processing, and AI engineering, with a focus on Microsoft Azure services. You'll learn how to build and deploy AI solutions on Azure, leverage Azure services for various machine learning tasks, and integrate AI capabilities into applications and services. These courses cater to developers and data scientists who are interested in building and deploying AI solutions using Microsoft Azure. This platform is perfect for anyone who wants to gain practical experience in building and deploying AI solutions on Azure, learn how to use Azure services for machine learning tasks, and integrate AI capabilities into their applications and services.

  • Time commitment: Varies

  • Get started: Learn more and sign-up here.

IBM AI Engineering Professional Certificate (Coursera)

  • What it's about: This professional certificate program on Coursera covers essential skills for aspiring AI engineers, including machine learning, deep learning, and data science. You'll engage in hands-on projects and real-world case studies, gaining practical experience in building and deploying end-to-end AI solutions. This program is ideal for anyone who wants to pursue a career in AI engineering, build a portfolio of AI projects, and gain the skills needed to lead AI projects in various industries.

  • Time commitment: 10-12 months (3-4 hours/week)

  • Get started: Learn more and sign-up here

Stanford University's CS229: Machine Learning

  • What it's about: This classic course from Stanford University provides a rigorous and comprehensive exploration of machine learning fundamentals, covering essential concepts, algorithms, and applications. It requires a strong mathematical background and is designed for students and professionals with a solid foundation in mathematics and computer science. You'll gain a deep understanding of machine learning theory, learn how to implement various algorithms, and explore the wide range of applications of machine learning in various domains. This course is ideal for anyone who wants to gain a deep understanding of machine learning theory and algorithms, conduct research in machine learning, and pursue advanced studies in AI.

  • Time commitment: 8-12 hours

  • Get started: Learn more and sign-up here.

MIT OpenCourseWare: Introduction to Deep Learning

  • What it's about: course from MIT offers a comprehensive introduction to the world of deep learning, covering neural networks, optimization techniques, and various applications. It requires a strong mathematical and programming background and is designed for students and professionals with a solid foundation in these areas. You'll learn about different deep learning architectures, understand how they work, and gain insights into how they are applied in various domains. This course is perfect for anyone who wants to understand deep learning architectures and algorithms, implement deep learning models, and apply deep learning to various domains.

  • Time commitment: 10-12 weeks (significant time commitment)

  • Get started: Learn more and sign-up here.

Deep Reinforcement Learning by David Silver (UCL)

  • What it's about: This lecture series, led by DeepMind's David Silver, provides a comprehensive overview of reinforcement learning, a powerful paradigm for building intelligent agents that can learn and adapt to their environment. You'll learn about different reinforcement learning algorithms, understand how they work, and explore their applications in various domains, including robotics, game playing, and control systems. This lecture series is ideal for anyone who wants to understand reinforcement learning algorithms and techniques, build intelligent agents for various tasks, and conduct research in reinforcement learning.

  • Time commitment: 20-30 hours

  • Get started: Learn more and sign-up here.

Generative AI:
The Next Frontier

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Generative AI is changing how we create. From writing to art and code, these courses will get you started:

Generative Adversarial Networks (GANs) Specialization by DeepLearning.AI (Coursera) - Audit Version

  • What it's about: specialisation focuses on Generative Adversarial Networks (GANs), a powerful class of generative models that have revolutionized the field of AI, particularly in image generation, text-to-image synthesis, and other creative applications. The audit version provides free access to video lectures, allowing you to learn about the architectural foundations of GANs, explore various design techniques, and understand their applications in different domains. This specialization is perfect for anyone who wants to understand the fundamentals of GANs, learn how to design and train GAN models, and explore their potential in various creative applications.

  • Time commitment: 40-50 hours

  • Get started: Learn more and sign-up here.

Hugging Face Course: Diffusion Models

  • What it's about: This course delves into the world of diffusion models, a relatively new class of generative models that have gained significant attention for their ability to generate high-quality images and other data. You'll learn about the theory behind diffusion models, understand how they work, and gain practical experience in implementing them using the Hugging Face library. This course is ideal for anyone who wants to understand the fundamentals of diffusion models, learn how to implement them using Hugging Face, and explore their potential in various generative tasks.

  • Time commitment: 20-30 hours

  • Get started: Learn more and sign-up here.

Generative AI with Large Language Models (Google Cloud)

  • What it's about: This course focuses on the use of large language models (LLMs) for generative AI tasks. LLMs, such as GPT-3 and LaMDA, have demonstrated remarkable capabilities in generating human-quality text, translating languages, writing different kinds of creative content, and answering your questions in an informative way. This course will teach you how to leverage the power of LLMs for various generative AI applications, such as text generation, summarization, and translation. This course is ideal for anyone who wants to learn how to use LLMs for generative AI tasks, explore their capabilities in various applications, and understand how they are changing the landscape of content creation and information processing.

  • Time commitment: 4 hours

  • Get started: Learn more and sign-up here.

From Learning to Leading: Prompt Engineering Consulting

The world of AI is rapidly evolving, and staying current with the latest advancements is crucial for success in today's digital landscape. By exploring the best free AI and generative AI courses in 2023, you can acquire the knowledge and skills needed to thrive in this exciting field. Whether you're a beginner looking to understand the fundamentals or an advanced practitioner seeking to master cutting-edge techniques, there's a course out there for you.

Remember, learning AI is just the first step. To truly leverage its potential for business growth and transformation, consider partnering with a trusted AI consulting firm like Prompt Engineering Consulting. Together, we can unlock the full potential of AI and help your organization stay at the forefront of innovation.

Learning AI is a journey, and Prompt Engineering Consulting can be your guide. As you embark on your AI learning journey, you may be wondering how to apply your newfound knowledge to drive business growth and efficiency. This is where Prompt Engineering Consulting comes in. Our team of experts specialises in leveraging the power of AI and machine learning to help enterprises achieve their goals. From developing tailored AI strategies to implementing cutting-edge solutions, we're here to guide you every step of the way.

 

We help businesses of all sizes unlock AI's potential:

  • Custom AI Strategies: We'll work with you to create a plan GTM that aligns with your business goals.

  • Cutting-Edge Solutions: From machine learning to deep learning and generative AI, we'll implement the right solutions for you to drive efficiencies across your internal and external GTM processes

  • Expert Guidance: Our team of AI experts will guide you every step of the way.

Let’s talk Generative AI for GTM

Free AI courses provide an excellent opportunity to gain valuable knowledge and skills in the field of artificial intelligence. Whether you're looking to understand the basics or dive into advanced topics like Generative AI, there are numerous resources available to help you on your learning journey. At Prompt Engineering Consulting, we are committed to helping enterprises succeed by leveraging the power of Generative AI and prompt engineering. Contact us today to learn more about how our consulting services can help grow your business 10x.

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