Generative AI in a Weekend: Learn Google Gemini Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Introduction to Generative AI & Google Bard
Estimated time: 0.5 hours
- Overview of Generative AI and its use cases
- Understanding the role of large language models
- Getting started with Google Bard: features and interface
- Exploring real-world applications of Bard
Module 2: Creative Tasks with Google Bard
Estimated time: 0.75 hours
- Using Bard for content generation and ideation
- Creating summaries and rephrasing text
- Generating code snippets and technical documentation
- Applying Bard to business communication and strategy
Module 3: Introduction to Google Cloud AI Services
Estimated time: 1 hour
- Overview of Google Cloud's AI ecosystem
- Introduction to Vertex AI and Model Garden
- Understanding PaLM models and their capabilities
- How Google Cloud supports enterprise GenAI development
Module 4: Building GenAI Applications
Estimated time: 1 hour
- Steps to build GenAI-powered applications
- Deploying models using Vertex AI
- Integrating Bard outputs with Google Cloud tools
- Connecting AI components for production workflows
Module 5: Responsible AI and Governance
Estimated time: 0.75 hours
- Understanding ethical considerations in GenAI
- Mitigating bias and ensuring transparency
- Following Google’s AI principles and governance frameworks
Module 6: Final Project
Estimated time: 0.75 hours
- Designing a real-world GenAI use case
- Mapping tools to business functions (e.g., HR, marketing)
- Presenting a solution using Bard and Google Cloud AI
Prerequisites
- Familiarity with basic cloud computing concepts
- Access to Google Cloud Platform (recommended)
- Basic understanding of AI terminology
What You'll Be Able to Do After
- Use Google Bard for content, code, and business ideation
- Leverage Google Cloud AI tools like Vertex AI and Model Garden
- Build and deploy basic GenAI applications
- Apply ethical guidelines to AI implementation
- Integrate Bard with cloud services for scalable solutions