Whether you’re intrigued by the depths of AI Generative or have already committed to pursuing a career in the field, the following compilation of courses offers an excellent starting point for your quest to grasp Generative AI. The below list of courses will prove a great place to start on your journey to understanding the fundamentals of Generative AI.
Generative AI, or generative artificial intelligence, is the application of AI technology to generate creative content like text, images, music, audio, and videos. Rather than simply analyzing or categorizing data, generative AI creates new content by exploiting patterns in existing data.
Intro to ChatGPT and Generative AI
Intro to ChatGPT and Generative AI by Udemy is an online course with 16 lectures that will embark on an exciting journey into ChatGPT and generative AI; the course is rated 4.4 stars by over 3,805 students. Throughout this course, you’ll acquire essential skills and knowledge to optimize the potential of AI algorithms for approximately $14.99. You’ll delve into the technology driving ChatGPT and gain a comprehensive understanding of its capabilities.
Through AI utilization, you will learn to craft proficient prompts that yield exceptional results and enhance productivity. The course equips you with insights into Generative AI and its underlying mechanisms while emphasizing the significance of ethical considerations in AI. As you progress, you’ll be well-prepared to confidently navigate the evolving landscape of tomorrow’s workplace, armed with a deep appreciation of AI’s transformative power.
Generative AI with Large Language Models
Generative AI with Large Language Models by DeepLearning.Ai is a comprehensive 3-week course comprised of three modules that delve into the intricacies of Generative AI with Large Language Models (LLMs). Enrolling in this program will give you a solid grasp of the foundational principles governing generative AI and its practical deployment in real-world scenarios. For only $49 / month, you will have in-depth knowledge of the following:
- Develop a deep understanding of generative AI, elucidating the pivotal stages within a typical LLM-driven generative AI lifecycle. This includes insights into data collection, model selection, performance evaluation, and practical deployment strategies.
- Gain a detailed insight into the transformer architecture that powers LLMs. This encompasses exploring their training process and the role of fine-tuning in adapting LLMs to diverse use cases.
- Harness empirical scaling laws to optimize the model’s objective function, considering variables such as dataset size, computational resources, and inference demands.
- Apply cutting-edge practices in training, tuning, inference, and utilizing tools and deployment methodologies. This will enable you to maximize the efficacy of models while adhering to specific project constraints.
- Discuss the challenges and prospects that generative AI introduces to businesses. These insights will be enriched by stories shared by industry experts and practitioners.
Upon completion, you will gain a foundational understanding, practical skills, and a functional comprehension of generative AI’s mechanisms. You will also explore the latest research in Gen AI, illuminating how companies leverage advanced technology to generate value. Benefit from instruction by expert AWS AI practitioners who actively engage in building and deploying AI solutions for real-world business applications today.
Introduction to Generative AI
Introduction to Generative AI by Google Cloud is a free online course designed as an introductory-level microlearning course; this program offers a concise yet comprehensive exploration of Generative AI. It focuses on elucidating the concept of Generative AI, its practical applications, and its distinctions from conventional machine learning approaches.
Furthermore, the course delves into utilizing Google Tools to create personalized Gen AI applications. Anticipated to be completed in around 45 minutes, the curriculum encompasses the following key objectives:
- Definition of Generative AI: Clearly defining the fundamental concept of Generative AI.
- Working Mechanism of Generative AI: A comprehensive explanation of how Generative AI operates.
- Varieties of Generative AI Models: Detailing the various types of models within the realm of Generative AI.
- Applications of Generative AI: Describing the diverse applications where Generative AI finds its relevance.
By engaging in this 1-day course, participants can gain a foundational understanding of Generative AI and its practical implementations, making it an ideal starting point for those interested in this emerging field.
Introduction to Generative Adversarial Networks
Introduction to Generative Adversarial Networks by Udacity will provide learners gain proficiency in working with generative adversarial networks (GANs), a powerful concept in AI. For only $399, students can have access to their 1-month program. The curriculum focuses on guiding students through constructing and training various GAN architectures to create novel images. The journey includes exploring, building, and training architectures like DCGAN, CycleGAN, ProGAN, and StyleGAN. Diverse datasets, including MNIST, Summer2Winter Yosemite, and CelebA, provide a comprehensive hands-on experience.
Prompt Engineering for ChatGPT
Prompt Engineering for ChatGPT by Coursera is offered by Vanderbilt University and is a comprehensive course that will equip students with the skills to leverage large language models like ChatGPT through prompt engineering effectively. For three weeks at 6 hours a week, students will learn how to harness prompt patterns to access the extensive capabilities hidden within these models for free. And develop the proficiency to build intricate applications based on prompts tailored to various aspects of your life, business, or education.
This course empowers you to become adept at generative AI tools, revealing their emergent intelligence, reasoning capabilities, and productivity-enhancing potential. Students gain insights into their functionality and learn how to harness their power to optimize their daily endeavors.
Generative AI Teach-Out
This Teach-Out is also offered on Coursera and offered by Michigan University for free. The course introduces artificial intelligence (AI), focusing on large language models and generative AI tools like ChatGPT. The self-paced course takes approximately three weeks at 2 hours a week. delves into ethical considerations, authorship implications, and these tools’ potential uses and regulations. The rapid development of Generative AI, exemplified by ChatGPT’s launch in November 2022 and its rapid user adoption, is noted.
The course highlights emerging concerns about the ethical use of generative AI in business and education. Experts from various fields at the University of Michigan contribute to discussions about the current and future impact of Generative AI, offering a holistic perspective on its implications.
Introduction to Prompt Engineering for Generative AI
Whether you’re a novice eager to expand your knowledge of Natural Language Processing (NLP) or a developer aiming to initiate your journey with contemporary NLP APIs, Introduction to Prompt Engineering for Generative AI by Linkedin Learning is an excellent starting point, equipped with its learning videos that will only take approximately 44 minutes to complete, for only about $20.
Students will be introduced to AI-generated imagery, delving into Dall-E and Midjourney. Advanced concepts like refining prompts and API interactions with language models are covered. This course equips beginners and developers with valuable insights into modern NLP capabilities and techniques.
Getting Started with Generative AI API Specialization
Getting Started with Generative AI API Specialization is a free online course to explore OpenAI APIs with Python. The course will take approximately 1 month at 10 hours a week. And you’ll learn to create programs that generate text for ChatBots, manipulate images, and interact with the ChatGPT API. No installations are needed – you’ll dive right into practical projects and gain skills that experts in both academia and industry value. With a career certificate from Codio to demonstrate your achievements, you’ll tackle real-world projects that cover text, image, and code generation using Python.
Unleash your creativity in the applied learning project, where you’ll craft movie/book recommendation programs and intelligent chatbots and experiment with image generation. This course is your gateway to acquiring and showcasing new skills through hands-on projects.
Generative AI Fundamentals
Databricks offers a free foundational course on Generative AI Fundamentals, ensuring that everyone from business leaders to data practitioners can grasp the essential concepts of Generative AI, including Large Language Models (LLMs).
The course comprises four short tutorial videos (approximately 2 hours to complete) that cover an introduction, an in-depth look at generative AI, strategies for success with generative AI, and a discussion of its potential risks and challenges.
The course delves into the transformative capabilities of Generative Artificial Intelligence (AI), including Large Language Models (LLMs), and their potential to reshape practical AI applications. It provides insights into how organizations can pinpoint and effectively integrate Generative AI solutions. Moreover, the course touches upon the essential legal and ethical concerns surrounding the use of Generative AI and offers guidance on how to address them. Notably, individuals can undertake this course without any prior knowledge or expertise in the subject.
Upon completing this course, the student will earn their badge, proof of their expertise which will give them a competitive edge for their LinkedIn Profiles, showcasing their dedication and advanced knowledge in generative AI to potential employers and peers.
Conclusion
In conclusion, the diverse range of online Generative AI courses caters to learners of all levels. These courses cover various topics, from the basics to advanced applications, ensuring that both beginners and professionals can enhance their knowledge and skills.
With hands-on projects and expert instructors, participants can explore topics like large language models, prompt engineering, and ethical considerations. The courses offer flexibility and accessibility, making it easy for anyone to dive into Generative AI and stay updated with the latest advancements. Whether you’re new to the field or looking to boost your expertise, these online courses provide a valuable avenue to thrive in Generative AI.