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Claude Foundations, Accelerated

Price
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1 Day
CL-100B
Classroom Training, Online Training
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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

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

    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

  • The Claude Ecosystem for Experienced Practitioners
    • 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
  • Claude API and Prompting in Depth
    • 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, Artifacts, and Skills
    • 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 and MCP Basics
    • 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
  • Claude Code in One Session
    • 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
  • The Technical Tracks Ahead
    • 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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