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Claude Foundations, Accelerated
Duration
1 Day
Course
CL-100B
Available Formats
Classroom Training, Online Training
Course Description
Overview
This Claude Foundations, Accelerated course delivers the same learning outcomes as CL-100A 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: Claude Foundations, Accelerated CL-100B is an alternative course to Claude Foundations CL-100A, not an addition to it.
Objectives
Upon completion of the Claude Foundations, Accelerated course, students will be able to:
- 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
Solution architects and developers with prior hands-on experience using large language models from any provider, beginning a technical Claude track and needing Claude-specific orientation without foundational LLM instruction.
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
- 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 the Claude training paths
- The Architect and Developer track paths at a glance
- Self-assessment: where to focus before the next course
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- 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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title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.