Upcoming Sessions

Session with asterisk (*) are guaranteed to run

July 8 - 9, 2026 12:00 - 4:30pm EDT

August 18 - 19, 2026 12:00 - 4:30pm EDT

Course Format and Delivery

Delivery Method: LiveOnline 
Schedule: 3 half-days
Cost: $1,350

All sessions are delivered live by an expert instructor in a fully interactive online environment.

*20% off for group bookings when booking 3 or more attendees from the same organization on the same course dates in the same transaction.

About this course

The Claude Fundamentals course is designed to equip professionals with the knowledge and practical skills required to effectively leverage Claude and similar large language models in real-world business and technical environments. This hands-on program goes beyond basic prompt usage to focus on structured prompting, workflow integration, and enterprise-grade applications of AI.

Participants will learn how to use Claude to enhance productivity, support decision-making, accelerate software development, and enable intelligent automation across business functions. The course emphasizes safe, effective, and scalable usage of AI, helping teams move from experimentation to consistent, high-value outcomes.

By the end of the program, learners will be able to confidently apply Claude within their day-to-day workflows and identify opportunities to drive impact across their organization.

What you will learn

• Understand the capabilities, limitations, and architecture of Claude and LLMs
• Apply structured prompting techniques to generate accurate and useful outputs
• Use Claude for common business and technical workflows
• Integrate Claude into software development and operational processes
• Analyze and improve AI outputs through iterative prompting
• Identify high-impact use cases for Claude within their organization
• Apply best practices for AI governance, security, and responsible usage
• Build repeatable workflows using Claude to drive productivity and efficiency

Topics Covered

Module 1: Introduction to Claude & LLM Fundamentals

• What is Claude and how it works
• LLM concepts: Tokens, context windows, embeddings
• Differences between Claude, GPT, and other models
• Strengths and limitations of LLMs
• Hands-on exercise: “Good vs Bad AI Outputs”. Review sample prompts & outputs and identify what went wrong & improve the prompt

Module 2: Prompt Engineering Fundamentals

• What makes a good prompt
• Prompt structures: Role-based prompting, Instruction-based prompting and Context-rich prompting
• Zero-shot vs few-shot prompting
• Common prompting mistakes
• Hands on exercise: Activity: "Prompt Makeover". Students will add roles, structure and constrains on a vague prompt.

Module 3: Advanced Prompting Techniques

• Chain-of-thought prompting
• Step-by-step reasoning
• Iterative refinement
• Prompt templates and reuse
• Controlling output format and tone
• Hands on exercise: Activity: "Iterative Prompt Refinement". Start with a simple prompt and improve across 3 iterations (Basic, reasoning, reformatting)

Module 4: Claude for Business Productivity

• Writing and summarization
• Document analysis
• Email and communication drafting
• Research and synthesis
• Data interpretation (non-technical)
• Hands on exercise: Activity: "Real Work Simulation" Common scenarios: Summarize a long document, Draft an executive email, Create a meeting summary

Module 5: Claude in Software Development (AI in SDLC)

• Requirements generation
• Code generation and review
• Test case creation
• Debugging assistance
• Documentation generation
• Hands on exercise: Activity: "AI Pair Programming". Build a simple problem use case to generate and improve code and create test cases

Module 6: Workflow Integration & Automation

• Embedding Claude into workflows: Product management, Operations, Customer support
• Using Claude with APIs and tools
• Creating repeatable AI workflows
• Hands on exercises: Activity: "Design an AI Workflow". Pick a use case (e.g., support ticket handling). Define: Inputs, AI steps & Outputs

Module 7: Use Case Identification & Prioritization

• Identifying AI opportunities
• Mapping: Pain points to AI solutions
• Evaluating: ROI & feasibility
• Quick wins vs strategic initiatives
• Hands on exercises: Activity: "AI Opportunity Mapping" Identify handful of pain points and map to AI solutions, Score: Value vs effort, Business enablement

Module 8: AI Governance, Risk & Best Practices

• Responsible AI usage
• Data privacy and security
• Bias and hallucination management
• Human-in-the-loop validation
• Enterprise guardrails

• Hands on exercises: Activity: "Risk Identification Workshop". Provide a scenario and identify risks and mitigation strategies.

Module 9: Scaling Claude Across the Organization

• Moving from pilot → production
• Change management considerations
• Building an AI-enabled culture
• Measuring success and adoption
• Hands on exercises: Activity: "30-60-90 Day AI Plan". Build a final plan with 30-day quick wins, 60-day pilots and 90-day scaling plan

Module 10: Closing & Next Steps.

• Final exercise: Design a Claude-powered workflow for: A real business or technical use case. Present and discuss solutions
• Key Takeaways and next steps for attendees