The Complete Guide To Google Gemini (With Gemini Ultra!) 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
Estimated time: 0.5 hours
- What is generative AI and how does it work?
- Key use cases across industries
- Overview of Google’s AI capabilities
Module 2: Overview of Google Generative AI Studio
Estimated time: 0.75 hours
- Navigating the AI Studio platform
- Understanding available tools and APIs
- Exploring model types in Google Cloud
Module 3: Prompt Engineering Basics
Estimated time: 1 hour
- Writing effective prompts for AI tasks
- Understanding temperature and token settings
- Tuning parameters for better outputs
Module 4: Creating Text & Image Models
Estimated time: 1 hour
- Building and testing text generation models
- Generating visual content using Imagen
- Hands-on practice with multimodal outputs
Module 5: Real-World Applications
Estimated time: 0.75 hours
- Automating content creation and summarization
- Code generation use cases
- Case studies in marketing, education, and enterprise
Module 6: Ethical Use & AI Governance
Estimated time: 0.5 hours
- Understanding bias in AI models
- Ensuring transparency and accountability
- Google’s principles for responsible AI
Module 7: Deploying & Scaling AI Projects
Estimated time: 0.75 hours
- Integrating AI into apps and workflows
- Managing models and APIs on Google Cloud
- Strategies for scaling AI solutions
Module 8: Final Project
Estimated time: 1 hour
- Design a text generation pipeline using Gemini
- Create AI-generated images for a use case
- Submit a responsible AI deployment plan
Prerequisites
- Familiarity with Google Cloud Platform
- Basic understanding of AI concepts
- Access to a Google Cloud account
What You'll Be Able to Do After
- Understand the fundamentals of generative AI and its applications
- Use Google’s Generative AI Studio effectively
- Create, test, and deploy AI models in real-world scenarios
- Apply prompt engineering to text and image generation tasks
- Deploy AI responsibly with ethical considerations