The Artificial Intelligence (AI) ecosystem has advanced quickly within the final 5 years, with Generative AI (GAI) main this evolution. In truth, the Generative AI market is anticipated to achieve $36 billion by 2028, in comparison with $3.7 billion in 2023.
Today, Generative AI is affecting many industries, corresponding to healthcare, advertising, vogue, and leisure as a result of AI turbines like AI picture turbines and AI video turbines have proven us the potential to substitute guide human duties. However, advancing on this area requires a specialised AI skillset.
So, to make studying simpler for AI fans, Google has launched 10 free programs for Generative AI. Before we talk about them, let’s see briefly what generative AI is.
What is Generative AI & Why is Learning Generative AI Important?
Generative AI is a specialised AI area that focuses on constructing fashions that may generate new lifelike content material, like photographs, textual content, audio, or movies, utilizing present knowledge samples.
For occasion, fashions like ChatGPT and DALL-E are distinguished examples of Generative AI as we are actually observing their real-world functions. ChatGPT is built-in into Bing’s search engine, whereas the Edge browser now incorporates DALL-E.
As Generative AI evolves, staying up-to-date with this know-how has grow to be essential for a number of causes:
- Ensures enterprise productiveness, cost-effectiveness, and elevated effectivity.
- Encourages experimentation and creativity.
- Supports human-AI collaboration and augments human capabilities.
- Allows progressive problem-solving methods.
Now, let’s have a look at how Google helps learners research Generative AI.
Google’s 10-Course Generative AI Learning Path
1. Introduction To Generative AI
Course problem: Beginner-level
Completion time: ~ 45 minutes
Prerequisites: No
What will AI fans be taught?
- What is Generative Artificial Intelligence, the way it works, what its functions are, and the way it differs from commonplace machine studying (ML) methods.
- Covers Google instruments for creating your personal Generative AI apps.
- You’ll additionally be taught in regards to the Generative AI mannequin varieties: unimodal or multimodal, on this course. Unimodal techniques take just one enter sort, whereas multimodal techniques can take a couple of enter sort.
2. Introduction to Large Language Models
Course problem: Beginner-level
Completion time: ~ 45 minutes
Prerequisites: No
What will AI fans be taught?
- This course explores LLMs (Large Language Models) – AI fashions educated on giant quantities of textual knowledge. “Google’s Bard AI” is a superb instance of an LLM that makes superior human-machine interplay doable.
- Understand how LLMs are used for sentiment evaluation.
- Learn about immediate tuning, by means of which the prompts given to a language mannequin are refined to realize the specified output.
- Cover the instruments that Google offers for the event of Gen AI.
3. Introduction to Responsible AI
Course problem: Beginner-level
Completion time: ~ 1 day (Complete the quiz/lab in your personal time)
Prerequisites: No
What will AI fans be taught?
- What is Responsible Artificial Intelligence? Why it’s vital, and the way Google implements this know-how in its merchandise.
- An introduction to the 7 Responsible AI ideas of Google.
4. Generative AI Fundamentals
Course problem: Beginner-level
Completion time: ~ 1 day (Complete the quiz/lab in your personal time)
Prerequisites: No
What will AI fans be taught?
- Contains all of the content material from the earlier three programs.
- Includes a closing quiz by means of which you’ll present your understanding of the elemental ideas of Generative AI.
5. Introduction To Image Generation
Course problem: Beginner-level
Completion time: ~ 1 day (Complete the quiz/lab in your personal time)
Prerequisites: Knowledge of ML, Deep Learning (DL), Convolutional Neural Nets (CNNs), and Python programming.
What will AI fans be taught?
- In this course, you’ll uncover diffusion fashions, their working, and implementation.
- Understand what unconditioned diffusion fashions are.
- Improvements in text-to-image diffusion fashions.
- Training and deploying these fashions on Vertex AI – a totally managed ML platform by Google.
6. Encoder-Decoder Architecture
Course problem: Intermediate-level
Completion time: ~ 1 day (Complete the quiz/lab in your personal time)
Prerequisites: Knowledge of Python programming and TensorFlow.
What will AI fans be taught?
- Discover the important thing elements of the encoder-decoder structure.
- Understand methods to use the encoder-decoder structure to coach a mannequin and produce textual content from it.
- Includes a lab walkthrough the place you’ll code in TensorFlow, a preferred ML improvement platform to construct production-grade fashions.
7. Attention Mechanism
Course problem: Intermediate-level
Completion time: ~ 45 minutes
Prerequisites: Knowledge of ML, DL, Natural Language Processing (NLP), Computer Vision (CV), and Python programming.
What will AI fans be taught?
- Discover the idea of consideration mechanism – a robust method that allows language fashions to focus on specific enter sequence segments with a view to perceive contextual info.
- Learn the way it operates and its makes use of.
- Understand how the eye mechanism is utilized to ML fashions.
8. Transformer Models & BERT Models
Course problem: Beginner-level
Completion time: ~ 45 minutes
Prerequisites: Intermediate information of ML, understanding of phrase embeddings and a focus mechanism, and expertise with Python and TensorFlow.
What will AI fans be taught?
- Learn in regards to the Transformer structure and discover how a Bidirectional Encoder Representation from the Transformer (BERT) mannequin is constructed utilizing Transformers.
- Covers the totally different NLP duties for which a BERT mannequin is used.
9. Create Image Captioning Models
Course problem: Intermediate-level
Completion time: ~ 1 day (Complete the quiz/lab in your personal time)
Prerequisites: Knowledge of ML, DL, NLP, CV, and Python programming.
What will AI fans be taught?
- How to establish the weather of a picture captioning mannequin.
- How to construct and assess a mannequin for picture captioning.
- How to create your personal captioning fashions for images and use them to create captions.
10. Introduction To Generative AI Studio
Course problem: Introductory-level
Completion time: ~ 1 day (Complete the quiz/lab in your personal time)
Prerequisites: No
What will AI fans be taught?
- Recognize the aim of Generative AI Studio, a Vertex AI product.
- The choices and properties of Generative AI Studio are additionally lined on this course.
- Contains a hands-on lab the place you may make the most of this instrument.
After finishing these ten free programs, learners can have a complete understanding of Generative AI and its sensible functions. Learners can make the most of their newly acquired information to advance the sphere of Generative AI, constructing progressive merchandise that may positively impression our society.
“In a world the place ChatGPT and different AI apps can do many issues people as soon as wanted to do themselves or wanted to rent different people to do, the query of ‘how will I add worth?’ turns into extra related than ever.” ― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth, in his e-book Business Essentials.
To maintain your self up to date about AI developments, go to unite.ai.
