No textbooks or fees are required.

Here are 07 courses you don’t want to miss in 2024: ↓

1. Introduction to Generative AI

→ This course helps you make Gen AI apps using Google Tools.

→ It takes about 45 minutes to finish.

→ You get a Free Badge Certificate when you’re done.

Course Link:

2. Introduction to Large Language Models

This course is a beginner-level learning experience. It covers:

→ What large language models (LLMs) are.

→ How LLMs can be used in different situations.

→ Improving LLM performance through prompt tuning.

Course Link

3. Introduction to Responsible AI

This is a beginner-level microlearning course aiming to:

→ Explain what responsible AI means.

→ Describe how Google applies responsible AI in its products.

→ Introduce Google’s 7 AI principles.

Course Link

4. Encoder-Decoder Architecture

This course covers the encoder-decoder architecture, which is a powerful method in machine learning for sequence-to-sequence tasks:

→ Learn to create your own encoder-decoder model in Keras.

Course Link

5. Introduction to Image Generation

This course introduces the theory behind diffusion models and teaches how to train and deploy them on Vertex AI:

→ Understanding how diffusion models operate

→ Exploring advancements in diffusion models (text-to-image)

Course Link

6. Attention Mechanism

This course provides an introduction to the attention mechanism, a powerful technique enabling neural networks to focus on specific parts of an input sequence.

Main Objectives:

→ Grasp the concept of attention and its functionality

Course Link

7. Generative AI Fundamentals

Earn a skill badge by completing the following courses:

→ Introduction to Gen AI

→ Introduction to Large Language Models (LLMs)

Pass the final quiz to showcase your grasp of foundational concepts in generative AI.

Course Link