Schedule

Course Schedule

This schedule is designed around a weekly rhythm. The first session of the week is typically a Learner Session 🧠, where we introduce and discuss new concepts. The second session is a Builder Session 🛠️, where you'll apply those concepts directly to your team project in a hands-on workshop format.

Getting StartedGen AI & LLMsPrompt DesignContext EngineeringAgents & Course Wrap-Up

Date	Topic
08/26	🧠 Course Overview & Project Introduction
08/28	🛠️ Tools Overview & Dry Run

Pre-class Activities:

• Read and understand course details
• Sign up for a GitHub account.

Deliverables:

• A link to your team's GitHub Repo. Make sure that all team members appear in the repo's contributor list. See the Project Bootstrap page for details.

Resources:

• About Git & GitHub
• Google AI Studio
• GitHub Codespaces
• Gemini CLI
• Google Colab

Date	Topic
09/02	🧠 Large Language Models (LLMs) & Model Capabilities
09/04	🛠️ Mapping Project Tasks to Model Use & Capabilities
09/09	🧠 Model Selection & Business Alignment
09/11	🛠️ Problem Framing & Translating Business Needs to User Stories
09/16	🧠 Embedding Models & Their Business Relevance
09/18	🛠️ Developing Project Governance and Delivery Framework Using AI Tools

Pre-class Activities:

• Large Language Models (LLMs) & Model Capabilities
  • KaggleWhite Paper: Foundational Large Language Models & Text Generation
  • Whitepaper Companion Podcast
  • Behind the scenes of Google's state-of-the-art "nano-banana" image model

Deliverables:

• Project Charter

Resources:

• First Day on GitHub
• First Week on GitHub
• Project Governance Samples
  • Project Front Office
  • Feature Roadmap
  • Team Discussion

Date	Topic
09/23	🧠 Anatomy of a Prompt & Basic Prompting
09/25	🛠️ Working with System Instructions, Variables & Templates
09/30	🧠 Prompting Techniques
10/02	🛠️ Working with Prompt Structure, Reasoning, and Model Parameters
10/07	🧠 Aligning Prompt Design with Model Capabilities
10/09	🛠️ Working with Thinking, Grounding, Structured Outputs, and Function Calling
10/14	🧠 AI Safety & Ethics in Prompting
10/16	🛠️ Implementing Responsible AI Practices
10/21	🧠 Prompt Development Workflow: Explore, Evaluate, and Iterate
10/23	🛠️ Implementing Iterative Prompting Techniques

Pre-class Activities:

Kaggle on Prompt Engineering

• Prompt Engineering - Kaggle Whitepaper
• Whitepaper Companion Podcast - Prompt Engineering
• Prompting Fundamentals - Kaggle Notebook

Deliverables:

• Minimum Viable Product (MVP)

Resources:

• Prompt design strategies
• Prompting Guide
• Prompting for Image Generation
• Prompt Examples Demonstrating Image Editing & Generation
• Prompt Examples Demonstrating Video Generation Using Images

Date	Topic
10/28	🧠 Grounding Models with Retrieval-Augmented Generation (RAG)
10/30	🛠️ Implementing a Basic RAG Pipeline
11/04	Project Booster: Async Week
11/06	Project Booster: Async Week
11/11	🧠 Context Caching, Summarization, & "Needle in a Haystack" Findings
11/13	🛠️ Context Engineering in Practice

Pre-class Activities:

• placeholder

Deliverables:

• Experimentation & Refactoring

Resources:

• placeholder

Date	Topic
11/18	🧠 Agents, Tools, MCP, & A2A Protocol
11/20	🛠️ Agents in Action
11/25	Thanksgiving Recess
11/27	Thanksgiving Recess
12/02	🧠 Team Reflection & Interviews
12/04	🛠️ Launch Kit Peer Review, & Course Wrap-Up
12/09	Finals Week
12/11	Finals Week

Pre-class Activities:

• placeholder

Deliverables:

• Launch Kit
• Peer Review

Resources:

• placeholder