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About this class

This one-day course introduces participants to the fundamentals of Artificial Intelligence (AI) and hands-on practice with Anthropic’s Claude, an advanced conversational AI model. In the morning, learners explore what AI is, how Claude fits into the broader AI ecosystem, and how to craft effective prompts tailored to Claude’s strengths, particularly its nuanced reasoning and summarization capabilities.

In the afternoon, participants engage in a guided Prompt-a-Thon, collaborating in teams to apply Claude to real-world workplace challenges. The experience builds confidence and creativity while reinforcing core prompting and ethical AI principles.

What you'll be able to do

Define AI and describe its role in today’s workplace.
Explain how Claude and similar large language models (LLMs) function.
Recognize common AI use cases that enhance productivity, communication, and creativity.
Apply effective prompting strategies specific to Claude, including contextual and chain-of-thought prompting.
Evaluate and refine prompts to achieve accurate and useful responses.
Collaboratively design and present an AI-driven solution using Claude.
Discuss ethical considerations such as bias, privacy, and transparency in generative AI.

Course outline

1 - Welcome & Course Overview

Introductions and learning goals
Course flow and expectations

2 - Introduction to AI Concepts

What is AI?
Core terminology: models, parameters, tokens, hallucinations, context windows
How Claude differs from other LLMs (e.g., Gemini, ChatGPT)
Real-world examples of AI in work and life

3 - Introduction to Anthropic’s Claude

Overview of Anthropic and the Claude family of models
How Claude handles reasoning, summarization, and document analysis
Interface walkthrough (Claude.ai, integrations with Notion, Slack, etc.)
hen to use Claude vs. other AI assistants

4 - Prompting Fundamentals in Claude

What is prompting and why it matters
The anatomy of a Claude-optimized prompt
Key prompt types with examples and live demos:
- Instructional prompts
- Question prompts
- Role-based prompts
- Contextual/few-shot prompts
- Chain-of-thought and reasoning prompts
- Refinement and iteration prompts
Hands-on practice: crafting, testing, and improving prompts in Claude

5 - Transition to Prompt-a-Thon

Overview of the Prompt-a-Thon challenge and goals prompts
Team formation and expectations prompts
Tips for applying Claude effectively during the Prompt-a-Thon

6 - Kickoff & Instructions

Review of structure and deliverables
Emphasis on creativity, iteration, and collaboration

7 - Group Brainstorming

Identify time-consuming or repetitive workflows suitable for AI assistance
Select one challenge per team

8 - Prompt Design & Iteration

Develop prompts in Claude to address the challenge
Experiment with context, tone, and structure
Document iterations and results

9 - Group Review & Selection

Teams share best examples and decide on final approach

10 - Presentations & Wrap-Up

Present problem, prompts, iterations, and outcomes
Peer and instructor feedback
Discussion: lessons learned, ethical reflections, and real-world application

Before you attend

Basic computer literacy
No prior AI or coding experience needed

Who this is for

Professionals interested in understanding and applying AI using Claude to improve their productivity and problem-solving. No technical background required.