Google Generative AI Leader Exam: Complete Preparation Guide

This course provides a comprehensive introduction to the fundamentals of Artificial Intelligence, Machine Learning, and the transformative landscape of Generative AI. It covers core concepts, models and key Google Cloud tools for developing and deploying AI solutions. It helps you to prepare for Google Generative AI Leader Certification.

Core Concepts & Foundations

• AI and Machine Learning (ML) Fundamentals:

• Basics of Artificial Intelligence (AI) and Machine Learning (ML).

• Introduction to Artificial Neural Networks and the Transformer architecture.

• Understanding Weights and Bias in model training.

Types of ML: Supervised, Unsupervised, and Reinforcement Machine Learning.

• Generative AI Models:

• Deep dive into Generative AI and Foundation Models.

• Overview of Large Language Models (LLMs).

• Discussion of data crucial for training these models.

• Exploration of Retrieval-Augmented Generation (RAG).

Prompt Engineering

• Prompting Basics

• Learning the principles of effective prompting.

• Detailed discussion and exploration of Prompt Engineering techniques.

Google Cloud AI Services & Tools

• Introduction to Vertex AI and its environment.

• Exploring Vertex AI Studio and its features.

• Overview of related tools like Customer Engagement Suite and NotebookLM.

Learning about Google's Specialized AI APIs, including:

• Speech-to-Text API and Text-to-Speech API.

• Translation API and Document Translation API.

• Document AI API and Natural Language API.

• Cloud Vision API and Cloud Video Intelligence API.

Advanced Tools & Services:

• Discussion of Google’s Contact Center as a Service (CCaaS).

• Introduction to AI on the edge and Gemini Nano.

AI Agents:

• Defining what an agent is.

• Hands-on demonstration of how a Google agent works.

Business Strategy:

• Reviewing essential business strategies for implementing a successful Generative AI solution.