Google Free And Paid Generative AI Courses And Programs (2023)
The Google Home Script Editor was released in June to let users create advanced automation, and it will shortly get a "help me script" function powered by generative AI.
Generative AI is extremely useful in creative fields. It has the ability to generate a wide range of new outputs by itself. Generative AI deals with creating new and original content, such as chat responses, designs, and automated information. ChatGPT and Bard are popular generative AI interfaces.
There are 08 benefits of Generative AI.
- Increasing Creativity
- Time-Saving
- Increased productivity and efficiency
- Data Creation
- Realistic virtual reality
- Responsive learning
- Enhance the customer experience
- Human Error is Being Reduced
If you are a student or a working professional with an interest in computers, software, web development, or any other design discipline, this article will be extremely beneficial for you.
Google offers free and paid generative AI training courses. The courses that are being offered in its first learning path (Introduction to Generative AI Learning Path) are free. The second Path (Generative AI for Developers Learning Path) has some free courses and a few of them which include labs are paid. These Generative AI courses are available on the Google Cloud Skills Boost platform, as part of Google's generative AI training programs.
- Introduction to Generative AI Learning Path
- Generative AI for Developers Learning Path
Introduction to Generative AI Learning Path:
An "Introduction to Generative AI" path includes non-technical beginning courses suitable for the following roles,
- Marketing
- Sales
- Human resources (HR)
- Operational roles like project managers.
Students can access the study path for free. This learning path includes 5 different courses to cover.
- Introduction to Generative AI
- Introduction to Large Language Models
- Introduction to Responsible AI
- Generative AI Fundamentals
- Responsible AI: Applying AI Principles with Google Cloud
Introduction to Generative AI:
This is a beginner-level small-scale learning course that explains what Generative AI is, how it works, and how it differs from typical machine learning methods. It also covers Google generative AI Tools.
It includes a 22-minute lesson video, reading material, and a quiz component.
Introduction to Large Language Models
This subject looks into what large language models (LLM) are, how they may be used, and how prompt tuning can be used to improve LLM performance. It also covers Google tools for creating your own Gen AI apps.
It consists of a 15-minute learning video, reading, and Quiz section.
Introduction to Responsible AI
This is an introductory-level small-scale learning course that explains what smart AI is, why it matters, and how Google integrates responsible AI into its products. It also introduces Google's 07 artificial intelligence principles.
It includes a tutorial video of 9 minutes and a quiz portion.
Generative AI Fundamentals
This is an introductory level free course offered by Google on Google Clouds Skill Boost. After completing these courses, you will be able to get a skill badge on your profile.
It purely contains a Quiz portion.
Responsible AI: Applying AI Principles with Google Cloud
In this course, you will learn about 07 different sections:
- Introduction
- The Business case for responsible AI
- AI’s Technical Considerations and Ethical Concerns
- Creating AI Principles
- Operationalizing AI Principles: Setting Up and Running Reviews
- Operationalizing AI Principles: Issue Spotting and Lessons Learned
- Continuing the Journey Towards Responsible AI
There are 17 videos and one document in this course.
Generative AI for Developers' Learning Path
The "Generative AI for Developers" program offers hands-on technical labs and courses for persons who are dealing in technical domains like,
- Software developers – Web development
- Engineers.
This is a paid learning path and it covers 09 different courses.
- Introduction to Image Generation
- Attention Mechanism
- Encoder-Decoder Architecture
- Transformer Models and BERT Model
- Create Image Captioning Models
- Introduction to Generative AI Studio
- Generative AI Explorer - Vertex AI
- Explore and Evaluate Models using the Garden
- Prompt Design using PaLM
Introduction to Image Generation
This is an introductory free course that covers diffusion models, a type of machine-learning model that has lately shown potential in image production. Many cutting-edge picture-generating models and tools on Google Cloud rely on diffusion models. This course will teach you the theory of diffusion models as well as how to train and deploy them on Vertex AI.
It includes a tutorial video of 9 minutes and a quiz section.
Attention Mechanism
This intermediate free course will teach you how attention works and how to utilize it to improve the performance of a range of machine learning tasks such as machine translation, summarization of texts, and question answering.
It includes a five-minute introductory video and a quiz part.
Encoder-Decoder Architecture
This free course provides an overview of the encoder-decoder architecture, a powerful and widely used machine learning architecture for sequence-to-sequence tasks such as
- Transcription by machine
- Text summarization
- Query responding.
You will learn about the key components of the encoder-decoder architecture, as well as how to train and serve these models. In the related lab tour, you will begin by coding in TensorFlow.
Transformer Models and BERT Model
In this free session, you are going to learn about the Transformer architecture's core components, such as the self-attention mechanism, and how it is used to develop the BERT model. You will also learn about the various tasks that BERT can perform, including
- Text classification
- Question Answering
- Natural language inference.
Create Image Captioning Models
This free course will demonstrate to you how to use deep learning methods to develop an image captioning model. You will learn about the encoder and decoder components of an image captioning model, as well as how to train and assess the model you created.
Introduction to Generative AI Studio
This free course teaches you about Generative AI Studio, its options, and features, as well as how to use it by walking through product demos. This course covers Generative AI Studio, a Vertex AI tool that allows you to prototype and develop generative AI models for usage in your applications.
It includes a 15-minute introduction video, a reading list, Reflection Cards, and a quiz component.
Generative AI Explorer - Vertex AI
The Generative AI Explorer - Vertex Quest is a set of laboratories that demonstrate how to use Generative AI on Google Cloud. The paid labs will teach you how to use models from the Vertex AI PaLM API family, such as
- Text-bison
- Chat-bison
- Text embedding-gecko.
You'll also learn about prompt design, best practices, and how to utilize it for brainstorming, recognizing text, text extraction process, summarization of text, and other purposes.
The third lab is one hour long and titled "Get Started with Generative AI Studio."
Explore and Evaluate Models using the Garden
Explore and Evaluate Models using the Garden
This paid course gives you an example of how to explore Model Garden and then use Generative AI Studio to create and evaluate prompts. It covers the Types of Vertex AI Models in the Model Garden.
It includes a one-hour lab session.
Prompt Design using PaLM:
In this paid course, you will look at Vertex AI as an AI/ML platform and learn how to create high-quality prompts, interact with PaLM to achieve the required responses, and be alert of hallucinations in responses.
It consists of a 01 hour Lab section.
How to enroll for Google Learning Paths:
Enrolling in Google Learning Paths is a four-step procedure.
- Go to https://www.cloudskillsboost.google/
- Then click on Join (https://www.cloudskillsboost.google/users/sign_up)
- After Sign-up, Select the Learning Path from the Paths button.
- Once Learning Paths selected, then click on Start button to start learning courses.
Conclusion:
Finally, we have covered all of the generative AI free and paid courses. Enrolling in these courses will be extremely advantageous to you in terms of content creation, web development, and various other fields.
Leave A Comment