Google, the Big Tech giant and AI pioneer, had rolled up its sleeves in the AI wars ever since OpenAI and Microsoft streaked ahead with ChatGPT. However, now it has addressed the elephant in the room and has taken its game one step ahead - the fact that the average person needs upskilling for the jobs of the future that are powered by Artificial Intelligence.

It officially launched its new generative Artificial Intelligence learning path that has ten different courses designed to give the average person a better understanding of how AI and machine learning work.

AI Driving the Tech Market

Artificial Intelligence has driven the tech market to unimaginable heights since last year, bringing new investors into the battlefield as the craze continues. Let’s take an example of Q.ai’s Emerging Tech Kit, which helps harness an AI algorithm to help build wealth and navigate the complex tech market.

Now, let’s get into Google’s new generative AI learning course!

In a blog, Google announced the launch of seven new generative AI courses for free, with another three courses added to the platform the next day. The courses tend to focus on the differences between machine learning and AI, an introduction to Google’s machine learning training platform Vertex AI along with focusing on the ethics around responsible AI development.

Its main intention is to help users understand generative AI, how it tends to fit into the broader AI ecosystem, and where they can look for other learning materials to help them sustain in a new AI-focused career environment.

Let’s dig a little deeper into the courses:

• Introduction to Generative AI: Discovering what Generative AI is all about and how it differs from traditional machine learning along with exploring Google's powerful tools for creating your own Generative AI

• Introduction to Large Language Models: Unleashing the potential of large language models (LLM) and exploring their diverse use cases. Learning how to enhance LLM performance through prompt tuning using Google's cutting-edge tools

• Introduction to Responsible AI: Gaining a deeper knowledge of responsible AI and its importance. Exploring how Google implements responsible AI in their products and getting face-to-face to Google's 7 AI principles

• Introduction to Image Generation: Unlocking the secrets of diffusion models, a fascinating side of machine learning models for generating images

• Encoder-Decoder Architecture: Mastering the powerful encoder-decoder architecture which is widely used in sequence-to-sequence tasks like text summarisation and machine translation

• Attention Mechanism: Immersing yourself in attention mechanism; a game-changing technique that enables neural networks to help focus on specific parts of an input sequence

• Transformer Models and BERT Model: Exploring the Transformer architecture and the powerful Bidirectional Encoder Representations from Transformers (BERT) model. Diving deep into the self-attention mechanism and witnessing how it tends to build the foundation for state-of-the-art models

• Create Image Captioning Models: Stepping into the world of image caption models using deep learning. Mastering different components such as encoder and decoder, and learning to train and evaluate models effectively

• Introduction to Generative AI Studio: Getting your hands-on with Generative AI Studio and empowering users to prototype and customize generative AI models

• Generative AI Explorer - Vertex AI: Taking a thrilling quest and immersing yourself in a collection of labs through Generative AI on Google Cloud

Talk of the Town

Critics and cynics would say it’s a good way of getting AI enthusiasts and Tech geeks into the Google training system and employing the Google software to build their own machine learning and AI models, thus, helping Google to solidify its place in the AI wars.

AI in the Future of Work

Everyone is excited about the new image generators and chatbots that can save users time and companies money; which is companies like Microsoft, AmazonAMZN -4.2%, and Nvidia have all made headlines by pouring billions of dollars into AI investments.

What else is Google doing with AI lately?

The new courses aren’t the only move Google has made to encourage AI adoption. It also launched the Google for Startups Growth program in Europe, which is said to be a three-month course for European AI entrepreneurs using tech for health and wellbeing.

Before ending the article, let’s look into some benefits of the course and how to access it:

The course is designed to be accessible to anyone, regardless of their technical background, and includes interactive visualizations and exercises to reinforce concepts and help learners practice their skills.

Benefits of the Course

By taking this course, learners will gain a basic understanding of AI and ML, as well as the ability to build basic ML models using TensorFlow, Google's open-source ML framework. The course also includes a certificate of completion for those who finish all the lessons and exercises.

Who Can Benefit from the Course?

The course is intended for anyone who is interested in learning about AI and ML, whether they are students, working professionals, or hobbyists. It is particularly relevant for individuals who work in fields that are being transformed by AI, such as healthcare, finance, and transportation.

How to Access the Course?

The course is available for free on Google's website. Learners can access the course materials at any time and work through the lessons at their own pace.

Overall, the course is an excellent opportunity for anyone interested in learning about AI and ML to get started with this exciting and rapidly evolving field.

Unlock the power of Generative AI with Google and become a trendsetter in the world of AI!

To embark on this mind-expanding journey, click the following link to access the free course by Google https://lnkd.in/gA-gepkw