02
The API: Your First Integration
CORE
🔒Getting your API key and making your first request10 min
🔒Multi-turn conversations: managing message history12 min
🔒System prompts: the invisible hand that shapes every response15 min
🔒Response streaming: real-time output for better UX10 min
🔒Structured data extraction: get JSON, not essays12 min
🔒Exercise: Build a chatbot that remembers context20 min
03
Prompt Engineering That Actually Works
CORE
🔒The clarity principle: why vague prompts get vague answers10 min
🔒XML tags: the structure hack that 10x your results12 min
🔒Few-shot examples: teaching by showing, not telling12 min
🔒Chain-of-thought: making Claude think before it speaks10 min
🔒Role prompting and persona design8 min
🔒The anti-patterns: what kills your prompt quality10 min
🔒Exercise: Rewrite 5 bad prompts into great ones20 min
04
Prompt Evaluation: Measuring What Works
ADVANCED
🔒Why vibes-based testing fails at scale8 min
🔒Building test datasets: synthetic data generation15 min
🔒Model-based grading: using AI to judge AI12 min
🔒Code-based validation: programmatic quality checks10 min
🔒The eval pipeline: automate your prompt testing15 min
🔒Exercise: Build an eval suite for a content generation prompt25 min
05
Tool Use: Making Claude Do Things
ADVANCED
🔒How tool use works: the request-response dance12 min
🔒Defining tool schemas with JSON Schema10 min
🔒Handling tool results and multi-turn tool conversations15 min
🔒Multiple tools: letting Claude pick the right one12 min
🔒The batch tool: parallel execution for speed10 min
🔒Web search and text edit: built-in power tools10 min
🔒Fine-grained tool control: forcing and disabling tools8 min
🔒Exercise: Build a weather + calendar assistant with tools25 min
06
RAG: Teaching Claude Your Data
ADVANCED
🔒Why RAG exists: the knowledge cutoff problem8 min
🔒Text chunking strategies: fixed, semantic, recursive12 min
🔒Embeddings: turning text into searchable vectors15 min
🔒BM25 lexical search: the old-school trick that still works10 min
🔒Multi-index RAG: combining vector + lexical search12 min
🔒Reranking: sorting results by actual relevance10 min
🔒Contextual retrieval: Anthropic's secret weapon12 min
🔒Exercise: Build a RAG system over your own documents30 min
07
Extended Thinking & Advanced Features
ADVANCED
🔒Extended thinking: letting Claude reason deeply12 min
🔒Adaptive thinking vs manual budget: when to use each10 min
🔒Vision: analyzing images, charts, and screenshots12 min
🔒PDF processing: extracting intelligence from documents10 min
🔒Citations: making Claude show its sources8 min
🔒Prompt caching: cut costs by 90% on repeated prefixes15 min
🔒Automatic vs explicit caching strategies10 min
🔒Exercise: Build a document analysis pipeline with thinking + caching25 min
08
Model Context Protocol (MCP)
PRO
🔒What MCP is and why it changes everything10 min
🔒The three primitives: Tools, Resources, Prompts15 min
🔒Building your first MCP server in Python20 min
🔒The Server Inspector: debug without pain8 min
🔒Implementing an MCP client15 min
🔒Resources: exposing read-only data with MIME types10 min
🔒Prompts: pre-crafted instructions for common workflows10 min
🔒Exercise: Build an MCP server that connects Claude to a database30 min
09
MCP Advanced: Production Patterns
PRO
🔒Sampling: letting MCP servers call the AI model12 min
🔒Progress notifications and logging for long operations10 min
🔒Roots: file access control and security boundaries10 min
🔒STDIO transport: how pipes connect client and server12 min
🔒StreamableHTTP: SSE, sessions, dual connections15 min
🔒Stateful vs stateless: horizontal scaling decisions10 min
🔒Exercise: Deploy a production MCP server with HTTP transport25 min
10
Claude Code & Agent Skills
PRO
🔒Claude Code architecture: how it reads and edits codebases12 min
🔒Context management: keeping Claude focused on what matters10 min
🔒Custom commands and automation pipelines12 min
🔒Skills: teaching Claude once instead of repeating yourself15 min
🔒SKILL.md frontmatter, descriptions, and trigger matching12 min
🔒Progressive disclosure: keeping context windows efficient10 min
🔒Sharing skills via repos, plugins, and enterprise settings10 min
🔒Wiring skills into subagents for isolated expert delegation12 min
🔒Exercise: Build and publish a skill that automates your workflow25 min
11
Agent Architecture: Building AI Systems
PRO
🔒Workflows vs agents: know the difference or waste money10 min
🔒Parallelization: running multiple Claude calls simultaneously12 min
🔒Chaining: output of one becomes input of next10 min
🔒Routing: sending queries to the right specialist10 min
🔒Environment inspection and tool-augmented agents12 min
🔒Computer use: controlling real UIs with AI15 min
🔒The brain+muscles pattern: expensive model decides, cheap model executes10 min
🔒Exercise: Build a multi-agent system with routing and tools30 min
12
Cloud Deployment: AWS Bedrock & Google Vertex
PRO
🔒Why deploy via cloud providers instead of direct API8 min
🔒Amazon Bedrock setup: boto3 client, model IDs, regions12 min
🔒Google Vertex AI setup: service accounts, project config12 min
🔒Streaming, caching, and optimization on cloud platforms10 min
🔒Cost comparison: direct API vs Bedrock vs Vertex10 min
🔒Exercise: Deploy the same app on all three platforms25 min
Complete Source Code
Every exercise has working Python code. Copy, run, modify. No pseudo-code, no "left as exercise."
Battle-Tested Techniques
Real patterns from production systems handling millions of API calls. Not textbook theory.
Cost Optimization Guide
Prompt caching alone can cut your API bill by 90%. We show you exactly how.
MCP Server Templates
Ready-to-deploy MCP server templates for databases, APIs, file systems, and more.
Agent Architecture Blueprints
Parallelization, chaining, routing - the exact patterns Anthropic recommends.
Lifetime Updates
New Claude models, new features, new modules. One payment, forever access.
Do I need prior AI experience? +
Module 1 starts from absolute zero - what Claude is, how tokens work, why it behaves differently from GPT. If you can write Python, you can follow everything. If you can't write Python yet, the first 3 modules are still useful background.
Is this beginner or advanced? +
Both. Modules 1-3 are foundation. Modules 4-7 are intermediate (prompt eval, tool use, RAG, advanced features). Modules 8-12 are production-level (MCP, multi-agent systems, cloud deployment). You can start at any module that matches your level.
What language is the code in? +
Python. Every exercise has complete, working code. No pseudo-code, no "left as an exercise for the reader." Copy it, run it, break it, learn from it.
How do I access the course after paying? +
Does the course cover Claude 3.5 and newer models? +
Yes. The course covers the full model lineup including Haiku, Sonnet, and Opus variants. The patterns taught work across model generations, and new modules are added as Anthropic ships significant updates.
Is there a refund policy? +
Try the 3 free lessons first - that's intentional. The course quality is visible before you buy. Crypto payments are final by nature, so use the free preview to decide. If something is technically broken on our end, message @xANALYSTx on Telegram.
What makes this different from free YouTube tutorials? +
YouTube tutorials show you hello-world demos. This course covers the parts that get hard when you actually build: eval pipelines, MCP production patterns, multi-agent coordination, prompt caching that cuts costs 90%, cloud deployment with real enterprise constraints. The difference is depth and the exercises that force you to actually build something.
Get Full Access
12 modules, 80+ lessons, 30+ exercises, complete source code, lifetime updates. Pay once, learn forever.
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