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Claude Foundations
Course Description
Overview
This Claude Foundations course gives technical learners a confident, working orientation to the Claude ecosystem. Participants build a clear mental model of how Claude reasons and where its capabilities sit, then move through hands-on practice with the Claude API, prompting patterns, Projects, Artifacts, Skills, Connectors, MCP basics, and an introduction to Claude Code. CL-100A is the default starting point for the Architect and Developer tracks and assumes no prior experience with Claude.Objectives
- Describe the Claude ecosystem and identify which surface (API, Claude.ai, Claude Code) fits a given task
- Authenticate to the Claude API and make first calls with appropriate model and parameter selection
- Apply core prompting patterns — role, context, structured output, and few-shot — to produce reliable results
- Use Projects, Artifacts, and Skills in Claude.ai to organize ongoing work and reusable instructions
- Configure Connectors and explain the role of MCP in extending Claude with external tools and data
- Run Claude Code for basic terminal-based development tasks and explain when to reach for it
- Identify the practitioner-level decisions awaiting them in CL-200 and CL-300
Audience
Prerequisites
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Working proficiency in Python or JavaScript and experience consuming REST APIs. Familiarity with JSON and basic software development practices. No prior Claude experience required.
Topics
- What Claude is and how it differs from other foundation models
- Where Claude is accessed: API, Claude.ai, Claude Code, cloud platforms
- Model family overview and choosing between models for cost, latency, and capability
- Authentication, request structure, and core parameters
- System prompts, user and assistant turns, and conversation state
- Streaming versus synchronous responses
- Error handling and rate limits at an introductory level
- Role, audience, task, context, and tone as a working scaffold
- Structured output requests and when to enforce them
- Few-shot examples as the most reliable consistency lever
- Common failure modes: vague instructions, conflicting constraints, missing context
- Hands-on lab: write three prompts for representative technical tasks
- Projects: persistent context for ongoing work
- Artifacts: when Claude generates code, documents, or visuals as standalone outputs
- Skills: reusable instruction sets and when to author your own
- Hands-on lab: configure a Project with custom instructions and a Skill
- What Connectors do and how they extend Claude with external systems
- Model Context Protocol (MCP): what it is and why it exists
- Tools, resources, and prompts as MCP primitives at a conceptual level
- When to use a Connector versus building a custom MCP server
- What Claude Code is: agentic command-line tool for development
- Installation, first session, and the permissions model
- CLAUDE.md as the primary mechanism for project context
- Hands-on lab: run Claude Code on a small sample repository
- How Foundations connects to CL-200, CL-300, and CL-900
- The Architect and Developer track paths at a glance
- Self-assessment: where to focus before the next course
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
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