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Claude Foundations, Accelerated
Course Description
Overview
This Claude Foundations, Accelerated course delivers the same learning outcomes as Claude Foundations in a single day, compressed for experienced LLM practitioners who need Claude-specific orientation rather than foundational instruction. Time otherwise spent on general LLM concepts is reallocated to Claude's distinctive surfaces — Projects, Artifacts, Skills, Connectors, MCP, and Claude Code.Please note: CL-100B is an alternative to CL-100A, not an addition to it.
Objectives
- Describe the Claude ecosystem and identify which surface (API, Claude.ai, Claude Code) fits a given task
- Make Claude API calls with appropriate model and parameter selection for production-quality work
- Apply Claude-specific prompting patterns including structured output and few-shot for reliable results
- Use Projects, Artifacts, and Skills in Claude.ai to organize ongoing work and reusable instructions
- Configure Connectors and explain MCP's role in extending Claude with external tools and data
- Run Claude Code for terminal-based development tasks and explain when to reach for it
- Identify the practitioner-level decisions
Audience
Prerequisites
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Demonstrated hands-on experience with at least one LLM API (Anthropic, OpenAI, Google, or equivalent), including prompting, tool use, and structured output. Working proficiency in Python or JavaScript.
Topics
- Where Claude is accessed: API, Claude.ai, Claude Code, cloud platforms
- Claude model family: capability, cost, and latency tradeoffs
- How Claude differs from other foundation models in practice
- API surface, authentication, and parameter selection for production
- Claude-specific prompting patterns: structured output, few-shot, and system prompt design
- Streaming, stop reasons, and conversation state
- Hands-on lab: rebuild a familiar prompt for Claude and measure the difference
- Projects: persistent context for ongoing work
- Artifacts: when Claude generates standalone outputs
- Skills: authoring reusable instruction sets for repeated tasks
- Hands-on lab: configure a Project with custom instructions and a Skill
- Connectors: extending Claude with external systems
- MCP architecture and primitives: tools, resources, and prompts
- When to use a Connector versus building a custom MCP server
- Bridge to deeper MCP coverage into Claude Practitioner and Claude Agentic Systems courses
- What Claude Code is and how it differs from IDE-based assistants
- Installation, first session, and the permissions model
- CLAUDE.md as the primary mechanism for project context
- Hands-on lab: run Claude Code on a sample repository
- How Foundations connects to the Cloud Architect certification track
- 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.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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