Picture by Creator
Earlier than we get into the free programs, let me shortly give you a easy definition of Generative AI. Generative AI can generate textual content, photographs, or different types of media primarily based on person prompts. It will possibly produce new content material, change repetitive duties, work on custom-made information, and extra. For instance, PandasAI was launched not way back – a generative AI python library which integrates generative AI capabilities into Pandas for less complicated information evaluation.
Similar to PandasAI, we count on to see extra Generative AI instruments and software program be launched and built-in into our on a regular basis lives to make processes less complicated and smoother.
Let’s now speak in regards to the FREE programs about Generative AI which might be being offered by Google.
Google created the Generative AI learning path, which consists of a set of programs surrounding Generative AI merchandise and applied sciences. You’ll study in regards to the fundamentals of Massive Language Fashions (LLMs) in addition to with the ability to create and deploy Generative AI options on Google Cloud.
The training path consists of the next 10 programs:
1. Introduction to Generative AI
Hyperlink: Introduction to Generative AI
This course will give you an summary of the basics of Generative AI. In case you’re fully new to Generative AI, this would be the finest place to start out. Additionally, you will find out how Generative AI differentiates from different machine studying strategies.
2. Introduction to Massive Language Fashions
Hyperlink: Introduction to Large Language Models
With the rise of chatbots comparable to ChatGPT and Bard, studying about what giant language fashions (LLMs) are, how they’re constructed, their use and immediate tuning is important data.
3. Introduction to Accountable AI
Hyperlink: Introduction to Responsible AI
There have been some latest outrages about how accountable AI is. This course will undergo how accountable AI is carried out into Google’s merchandise. You’ll find out about Google’s 7 AI Ideas, studying extra about social duty, accountability and privateness design rules.
4. Generative AI Fundamentals
Hyperlink: Generative AI Fundamentals
After you have accomplished the primary 3 programs, you’ll then be quizzed on all 3 within the 4th course. A few of you could have already got background data and get by means of this very quickly. Nonetheless, it’s good for novices and individuals who need to fill within the lacking blanks.
5. Introduction to Picture Technology
Hyperlink: Introduction to Image Generation
An enormous a part of Generative AI is with the ability to generate photographs utilizing secure diffusion. On this course, you’ll study extra about diffusion fashions, in addition to dive into machine studying, deep studying, and convolutional neural nets.
6. Encoder-Decoder Structure
Hyperlink: Encoder-Decoder Architecture
Study extra in regards to the highly effective machine studying structure for sequence-to-sequence duties – the encoder-decoder structure. With this, it is possible for you to to grasp extra about machine translation, textual content summarization, and question-answering.
This course additionally features a lab walkthrough during which you’ll code a easy implementation of the encoder-decoder structure for a selected process.
7. Consideration Mechanism
Hyperlink: Attention Mechanism
I’ve heard lots of people speaking about desirous to study extra about this matter. The eye mechanism is a method that enables neural networks to concentrate on particular elements of an enter sequence. To achieve success within the course, you have to a very good understanding of machine studying, deep studying, pure language processing, and/or Python programming.
8. Transformer Fashions and BERT Mannequin
Hyperlink: Transformer Models and BERT Model
Because the terminology will get troublesome, at this level you understand you have to to be a bit extra skilled. Within the course you’ll find out about the primary parts of transformer fashions and Bidirectional Encoder Representations from Transformers (BERT).
For instance, it is possible for you to to study extra in regards to the self-attention mechanism, and the way it’s used to construct the BERT mannequin, in addition to find out about different duties comparable to textual content classification.
9. Create Picture Captioning Fashions
Hyperlink: Create Image Captioning Models
It says it within the identify. Discover ways to create a picture captioning mannequin by utilizing deep studying, by breaking down the completely different parts of a picture captioning mannequin, such because the encoder and decoder. You’ll then transfer onto coaching and evaluating the mannequin, and can have created your individual picture captioning fashions that may generate captions for photographs.
10. Introduction to Generative AI Studio
Hyperlink: Introduction to Generative AI Studio
Final however not least, is the Generative AI Studio. On this course, you’ll be launched to walk-through demos of the Generative AI Studio which is used to assist prototype and customise generative AI fashions, so you need to use their capabilities in your purposes. There may be additionally a hands-on lab on the finish and a quiz to check your data.
This 10 course studying pathway offered by Google doesn’t solely cater to novices, but additionally machine studying engineers and information scientists who’re a shift of their profession or studying new issues. It’s higher to be updated than fall behind, and Google presents nice sources to assist college students, staff, and newbies to get there.
Nisha Arya is a Information Scientist, Freelance Technical Author and Neighborhood Supervisor at KDnuggets. She is especially all for offering Information Science profession recommendation or tutorials and concept primarily based data round Information Science. She additionally needs to discover the other ways Synthetic Intelligence is/can profit the longevity of human life. A eager learner, looking for to broaden her tech data and writing abilities, while serving to information others.