Anthropic Academy — Six Certifications Completed

Over the past weeks I worked through the full Anthropic Academy curriculum on anthropic.skilljar.com, completing six courses and earning verified certificates from Anthropic Education. The courses span the Claude API, prompt engineering, tool use, Model Context Protocol, subagent architecture, agentic workflows, Claude Code, and foundational AI fluency.

Certificates

1. Building with the Claude API

Issued: May 2026 · Credential: verify.skilljar.com/c/6xuf3in7uxfv

The most comprehensive course in the curriculum — 85 lessons covering the full spectrum of working with Anthropic models via the API. Topics included:

• API authentication, model selection, and request structure
• Multi-turn conversations and stateless session management
• System prompts and persona engineering
• Response streaming and structured data extraction
• Prompt engineering techniques: XML tags, few-shot examples, clarity and specificity
• Prompt evaluation: automated grading, test dataset generation, model-based scoring
• Tool use: JSON schema definitions, stop_reason: tool_use, batch tool calls, built-in tools
• Features: Files API, prompt caching, citations, extended thinking, PDF processing, code execution
• Model Context Protocol: servers, clients, tools, resources, prompts, stdio/HTTP transports
• Agents and workflows: chaining, routing, parallelisation, evaluator-optimizer, and agentic loops

Skills: Prompt Engineering · Large Language Models (LLM) · Artificial Intelligence (AI) · Application Programming Interfaces (API) · Model Context Protocol (MCP) · Generative AI · AI Agents · Agentic AI Development · LLM Orchestration · Natural Language Processing (NLP)

2. Introduction to Model Context Protocol

Issued: May 2026 · Credential: verify.skilljar.com/c/fejthzt8mris

A focused course on MCP architecture and implementation. Covered MCP servers vs clients, the three primitive types (tools, resources, prompts), stdio and HTTP transports, the MCP Inspector for local testing, and building MCP servers with the Python SDK using the @mcp.tool decorator.

Skills: Model Context Protocol (MCP) · AI Agents · Agentic AI Development · Artificial Intelligence (AI) · Large Language Models (LLM) · Application Programming Interfaces (API) · Generative AI

3. Introduction to Subagents

Issued: May 2026 · Credential: verify.skilljar.com/c/tcnjor3wcovr

A concise four-lesson course covering what subagents are, how to create them, design principles for effective subagents, and practical patterns for using subagents in production agentic systems.

Skills: AI Agents · Agentic AI Development · Large Language Models (LLM) · Generative AI · Artificial Intelligence (AI)

4. Claude Code 101

Issued: May 2026 · Credential: verify.skilljar.com/c/gu8bnne46h9i

Covers Claude Code CLI setup, the agentic coding loop, working with CLAUDE.md context files, running tasks autonomously, and integrating Claude Code into a daily engineering workflow.

Skills: Agentic AI Development · AI Agents · Generative AI · Artificial Intelligence (AI)

5. Claude Code in Action

Issued: May 2026 · Credential: verify.skilljar.com/c/mu7768i7hv6g

Advanced Claude Code usage — integrating Claude Code into real-world development pipelines, agentic task orchestration across files and repositories, and engineering best practices for AI-assisted software development at scale.

Skills: Agentic AI Development · AI Agents · Generative AI · Artificial Intelligence (AI)

6. AI Fluency: Framework & Foundations

Issued: May 2026 · Credential: verify.skilljar.com/c/7jj8v2ug37ov

Foundational course covering effective AI collaboration, core AI and LLM concepts, responsible and ethical AI usage, and practical frameworks for integrating AI into professional workflows.

Skills: Artificial Intelligence (AI) · Generative AI · Large Language Models (LLM) · Responsible AI

What I took away

The Building with the Claude API course is the anchor — it covers every primitive you need to build production-grade AI features: correct tool use loop mechanics, prompt caching to cut costs on repeated prefixes, extended thinking for hard reasoning tasks, and how MCP plugs into everything. The MCP and Subagents courses added depth on the architecture patterns I use day-to-day in EasyCommerce and in personal projects like codebase-research-agent.

The Claude Code courses validated what I already use in my workflow — the agentic loop, CLAUDE.md for per-repo context, and long-horizon autonomous task execution — and sharpened my understanding of where the tool's boundaries lie.

All six certificates are verified on Anthropic Academy and linked to my LinkedIn profile.