Unleash Your Potential with Google’s Free AI Courses

TL;DR:

• Google launches 10 free AI courses focused on Generative AI and related technologies.
• Courses cover a range of topics, from Introduction to Generative AI to creating image captioning models.
• Students can earn a ‘Completion Badge’ upon finishing the courses.

Google’s New Initiative: Free AI Courses

In the ever-evolving world of technology, Artificial Intelligence (AI) and Advanced General Intelligence (AGI) are making significant strides, transforming industries and reshaping our interaction with devices. Recognising the need for skilled individuals in this burgeoning field, Google has launched a collection of free courses to empower learners with the knowledge and expertise required to thrive in the realm of Generative AI.

The 10 AI Courses

Google’s new initiative comprises ten microlearning courses, each designed to equip learners with a specific skill set in the Generative AI domain. Let’s explore these courses:

1. Introduction to Generative AI: This introductory course explains the concept of Generative AI, its uses, and how it differs from traditional machine learning methods. It also covers Google Tools to help develop Gen AI apps.
2. Introduction to Large Language Models: This course delves into large language models (LLM), their use cases, and how prompt tuning can enhance LLM performance.
3. Introduction to Responsible AI: Learn about responsible AI, its importance, and how Google implements it in their products. This course also introduces Google’s 7 AI principles.
4. Generative AI Fundamentals: Complete the first three courses and pass a quiz to earn a skill badge, demonstrating your understanding of foundational concepts in Generative AI.
5. Introduction to Image Generation: Discover diffusion models, a machine learning model family showing promise in image generation. Learn the theory behind diffusion models and how to train and deploy them on Vertex AI.
6. Encoder-Decoder Architecture: Gain insights into the encoder-decoder architecture, a powerful machine learning architecture for sequence-to-sequence tasks.
7. Attention Mechanism: Learn about the attention mechanism, which allows neural networks to focus on specific input sequence parts, improving machine-learning task performance.
8. Transformer Models and BERT Model: Explore the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model, understanding their components and uses.
9. Create Image Captioning Models: Learn how to create an image captioning model using deep learning, covering encoder and decoder components, and model training and evaluation.
10. Introduction to Generative AI Studio: Discover Generative AI Studio, a Vertex AI product, and learn how to prototype and customise generative AI models for your applications.

Google’s Commitment to AI Education

Google’s dedication to fostering the next generation of AI pioneers is evident through this initiative. These courses are accessible to aspiring learners at no cost, with Google Cloud awarding a ‘Completion Badge’ upon course completion. This badge serves as a testament to learners’ mastery of Generative AI, opening doors to exciting opportunities in the AI-driven world.

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Have you taken any of Google’s free AI courses? How have they helped you in your AI journey? Share your experiences below, and don’t forget to subscribe for updates on AI and AGI developments.

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• To sign up for Google AI courses, tap here.