Upskill Yourself Today: Your Guide to (Free) Courses for 2024
Exploring the Best AI Training Courses: our 10 Best (Free) AI Training Courses for Generative AI
In an era where businesses continuously explore innovative avenues to harness the potential of ChatGPT for financial gains, the demand for AI training courses is on a meteoric rise and it calls for a proactive approach from professionals across industries who seek to future-proof their careers.
Upskilling has become more than just a luxury—it's a necessity.
Major players in the tech realm, such as Microsoft and Google, have recognized the importance of equipping individuals with AI expertise and as a response to this need, they offer free AI training courses, opening doors for learners from diverse backgrounds.
Exploring the Best AI Training Courses: our 5 Best Free AI Training Courses for Generative AI
Our comprehensive guide navigates through the vast ocean of available AI training courses to bring you the best and the focus here is on courses that not only deliver valuable insights but also provide immediate, foundational learning opportunities.
The goal is to empower you with skills that can be seamlessly integrated into your current job role or career trajectory.
5 Best Free AI Training Courses for Beginners
Google's Free Generative AI Learning Path: A Comprehensive Overview
Google's Generative AI Learning Path stands out as a particularly generous offering, providing a substantial amount of learning hours across its 5 concise courses, each designed to be completed in just one day.
The learning path encompasses 7 introductory courses, featuring essential topics like "Introduction to Generative AI," "Introduction to Large Language Models," and "Generative AI Fundamentals." Moving beyond the basics, the intermediate level includes three courses such as "Encoder-Decoder Architecture" and "Attention Mechanism: Overview."
The first 2 introductory courses deliver immediately applicable content, offering insights into prompt tuning for optimal utilization of large language models. Moreover, a dedicated course emphasizes the responsible usage of AI, addressing ethical considerations in the field.
While there's no formal certification associated with these courses, participants receive a completion badge, a valuable addition to their digital resumes. Google also has recently expanded its paid certificates program, accessible through Coursera, and has made its free courses available in 18 additional languages, broadening accessibility and inclusivity.
Google's Free “Machine Learning Foundational Course” for Business Innovation
In addition to the previous AI Google course, Google extends its educational offerings with a complimentary introductory course on Machine Learning.
The course encompasses a comprehensive "crash course" on machine learning, a dedicated section addressing "problem framing," and a module guiding participants on preparing data for machine learning workflows. Complementing the material, freely accessible videos featuring insights from machine learning experts enhance the learning experience. To reinforce understanding, each section concludes with an interactive quiz allowing learners to assess their comprehension.
While slightly more advanced than other Google courses on this list, the machine learning foundational course carries a distinct business focus proving invaluable for professionals seeking innovative ways to integrate AI and machine learning into their workplace strategies.
Microsoft's Strategic AI Learning Path for Business Transformation
Tailored to empower business professionals in adopting Artificial Intelligence (AI) Microsoft learning path is crafted to impart the knowledge and resources necessary for responsible AI implementation focusing on planning, strategizing, and scaling AI projects.
Microsoft outlines the key objectives of the course, emphasizing the importance of gaining familiarity with existing AI tools, understanding fundamental AI terminology and practices, and leveraging prebuilt AI solutions to develop intelligent applications.
The course is structured into four modules: Leverage AI tools and resources for your business (55 mins), Create business value from AI (21 mins), Embrace responsible AI principles and practices (48 mins) and Scale AI in your organization (36 mins).
By the end of this learning path, participants are poised to acquire a strategic understanding of AI implementation, positioning them to drive innovation and responsible AI adoption within their respective organizations.
IBM's "AI Foundations for Everyone" Training Course on Coursera
IBM presents the "AI Foundations for Everyone" course, available on Coursera. This course allows free auditing, providing access to all materials and selected assignments, though formal grading and certification require a Coursera subscription.
Tailored for beginners with no prerequisite experience, the course offers a flexible schedule, enabling learners to progress at their own pace and the curriculum ensures familiarity with IBM's proprietary AI services, designed to facilitate the seamless integration of artificial intelligence into existing business infrastructures.
By the course's conclusion, participants are promised "hands-on interactions with several AI environments and applications," emphasizing practical engagement with AI technologies. The 3 comprehensive modules include "Introduction to Artificial Intelligence," "Getting Started with AI using IBM Watson," and "Building AI-Powered Chatbots Without Programming," each demanding between 9 to 11 hours for completion. This structured approach aims to equip learners with a robust foundation in AI, emphasizing both theoretical understanding and practical application.
Exploring DeepLearning.AI's "AI for Everyone" Short Course on Coursera
DeepLearning.AI's "AI for Everyone" short course (by renowned instructor Andrew Ng) is a compelling choice for those curious about the hype surrounding it and boasts an impressive enrollment of 1.2 million individuals and over 40,000 reviews.
The course is organized into 4 expansive modules: "What Is AI?", "Building AI Projects," "Building AI in Your Company," and "AI in Society." Each module demands less than an hour for completion, allowing ambitious learners to potentially finish the entire course in a day if they embrace the quizzes designed for module recapitulation.
As is common with Coursera offerings, auditing the course and accessing all materials comes at no cost. However, for those seeking official accreditation upon completion, opting for a paid account is necessary.
3 Best Free AI Training Courses for Programmers, Developers & Tech Experts
Harvard University’s “Introduction to Artificial Intelligence with Python”
This self-paced 7-week journey in modern artificial intelligence from Harvard University's course delves into foundational concepts and algorithms, and the comprehensive offering requires a commitment of 10-30 hours per week.
The course is not only free but also provides support as you tackle projects and attend lectures. It's worth noting, however, that prior completion of Harvard's "Introduction to Computer Science" course is a prerequisite for enrollment.
DeepLearning.AI’s “ChatGPT Prompt Engineering For Developers” (Coursera)
Led by AI expert and DeepLearning.AI co-founder Andrew Ng, alongside OpenAI’s Isa Fulford, this hour-long “ChatGPT Prompt Engineering for Developers” by Coursera course empowers developers to leverage OpenAI’s API effectively.
Participants delve into the intricacies of using large language models for tasks like text transformation and summarization, while also gaining hands-on experience in programming and constructing custom AI chatbots. Notably, the course is currently offered "free for a limited time" and is beginner-friendly, requiring only a basic understanding of Python.
Intro to TensorFlow for Machine Learning (Udacity)
Udacity's "Intro to TensorFlow for Machine Learning" course is designed around one of Python's most popular open-source libraries, TensorFlow, this course spans approximately 2 months.
Prior familiarity with Python syntax, encompassing variables, functions, and classes, as well as a grasp of basic algebra, is recommended. The hands-on experience offered includes the creation of state-of-the-art image classifiers and various other types of deep learning models.
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Stanford University’s “Introduction to Artificial Intelligence” Course (Udacity)
This comprehensive online program from “Introduction to Artificial Intelligence” Stanford University, available on Udacity, unfolds over approximately 10 months with a commitment of 10 hours per week.
Positioned as an intermediate course, it delves into fundamental AI concepts and imparts practical machine-learning skills and it is structured under two overarching sections, namely "Fundamentals of AI" and "Applications of AI," the course is not only fully accessible for free upon Udacity sign-up but also grants complete access to all materials and instructional content—a departure from the limitations often associated with auditing Coursera courses.
Comprising 22 distinct lessons complemented by a series of interactive quizzes, this program provides a robust foundation for those looking to deepen their understanding of artificial intelligence.
University of Helsinki's “Elements of AI” and “Ethics of AI” Course
The University of Helsinki opens its virtual doors to 2 compelling and free online courses: first, titled “Ethics of AI,” caters to anyone intrigued by the ethical dimensions of artificial intelligence. This course guides participants through common questions that surface in AI ethics, offering diverse perspectives on how to navigate these complex considerations.
The second: “Elements of AI” encompasses 6 enriching chapters delving into pivotal topics such as "neural networks," "machine learning," and "AI problem-solving." With a simple sign-up, you gain unfettered access to the course materials, making it effortlessly accessible for those eager to explore the intricacies of artificial intelligence.
Whether you're interested in ethical considerations or foundational AI concepts, the University of Helsinki provides a valuable online learning experience for all.
BONUS:
LinkedIn's "Career Essentials In Generative AI" Training Course
LinkedIn's AI Career Essentials Course offers a comprehensive learning experience through a series of 5 distinct videos, accumulating approximately four hours of insightful content. Each video is presented by a different AI expert, delving into core concepts and ethical considerations surrounding AI models.
The course covers a detailed guide on streamlining work with Microsoft Bing Chat in one video and an exploration of the fundamental distinctions between search engines and reasoning engines in another.
The fifth video, titled "An Introduction to Artificial Intelligence," extends for an hour and a half, offering a simplified overview of the most effective AI tools for businesses. This segment proves particularly beneficial for individuals contemplating the integration of AI tools into their work, providing practical insights and guidance for those yet to explore this transformative technology in their professional endeavours.
The Benefits of Learning About AI
Future-Proofing Your Career: As industries undergo digital transformations, acquiring AI skills becomes instrumental for career longevity and relevance in a rapidly evolving job market.
Practical Application of Knowledge: Many of these courses emphasize immediate applicability, allowing learners to implement newfound skills directly into their professional roles.
Cost-Effective Learning Opportunities: The highlighted courses often come with no financial burden, enabling individuals to gain valuable AI insights without hefty tuition fees.
In conclusion, the benefits of delving into the world of AI education extend beyond personal development—they pave the way for a future where understanding and applying artificial intelligence become essential components of professional success.
Explore these courses, empower yourself with knowledge, and embrace the transformative potential of AI in your career journey.
Happy learning!