Mastering Claude AI
Master Claude AI — prompt engineering, the API, tool use, MCP and AI agents. A hands-on course from beginner to builder.
Curriculum · 90 lessons
- ARTICLE1.1 Welcome & How to Get the Most from This Coursepreview
- ARTICLE1.2 What Is Claude? Meet Your AI Collaboratorpreview
- ARTICLE1.3 How Large Language Models Actually Work (No Math)
- ARTICLE1.4 The Claude Model Family: Fable, Opus, Sonnet & Haiku
- ARTICLE1.5 What Claude Can and Can’t Do
- ARTICLE1.6 Hands-On Lab: Your First Three Prompts
- ARTICLE2.1 Creating Your Account & Choosing a Plan
- ARTICLE2.2 A Tour of the Interface
- ARTICLE2.3 Personalizing Claude with Custom Instructions
- ARTICLE2.4 Privacy, Data Controls & Security
- ARTICLE2.5 Hands-On Lab: Configure Your Workspace
- ARTICLE3.1 The Conversation Mindset
- ARTICLE3.2 Everyday Use Cases That Save Hours
- ARTICLE3.3 Iterating: Refine, Redirect, Correct
- ARTICLE3.4 Giving Context: Sources & Constraints
- ARTICLE3.5 Hands-On Lab: Solve a Real Task End-to-End
- ARTICLE4.1 The Anatomy of a Great Promptpreview
- ARTICLE4.2 Being Specific: Audience, Purpose, Format
- ARTICLE4.3 Controlling Output: Tone, Length, Structure
- ARTICLE4.4 Roles & Personas
- ARTICLE4.5 Hands-On Lab: The Prompt-Improvement Loop
- QUIZPart 1 Knowledge Check
- ARTICLE5.1 Zero-shot vs. Few-shot: Teaching by Example
- ARTICLE5.2 Structured Prompts with Tags & Delimiters
- ARTICLE5.3 Eliciting Reasoning & Extended Thinking
- ARTICLE5.4 Prompt Chaining & Task Decomposition
- ARTICLE5.5 Reducing Hallucinations & Grounding
- ARTICLE5.6 Hands-On Lab: Build a Reusable Prompt Template
- ARTICLE6.1 Uploading & Analyzing Documents
- ARTICLE6.2 Summarizing & Extracting from Files
- ARTICLE6.3 Claude’s Vision: Images, Charts & Screenshots
- ARTICLE6.4 Working with Long Context
- ARTICLE6.5 Hands-On Lab: Analyze a Real Document
- ARTICLE7.1 What Are Projects? Persistent Context
- ARTICLE7.2 Setting Up a Project Knowledge Base
- ARTICLE7.3 Artifacts: Living Documents, Code & Apps
- ARTICLE7.4 Iterating & Versioning Your Work
- ARTICLE7.5 Hands-On Lab: Build a Project + Artifact
- ARTICLE8.1 Ideation & Content Calendarspreview
- ARTICLE8.2 Writing On-Brand Long & Short Form
- ARTICLE8.3 SEO Support: Clusters, Outlines & Briefs
- ARTICLE8.4 Repurposing One Idea into Many
- ARTICLE8.5 Capturing Your Brand Voice
- ARTICLE8.6 Hands-On Lab: A Mini Content Campaign
- ARTICLE9.1 Research & Synthesis
- ARTICLE9.2 Turning Data into Narrative
- ARTICLE9.3 Professional Writing: Proposals, Reports & SOPs
- ARTICLE9.4 Planning Projects & Meetings
- ARTICLE9.5 Hands-On Lab: A Repeatable Business Workflow
- QUIZPart 2 Knowledge Check
- ARTICLE10.1 Getting Set Up: Keys & Consolepreview
- ARTICLE10.2 The Messages API: Your First Call
- ARTICLE10.3 Choosing a Model & Tuning Parameters
- ARTICLE10.4 Tokens, Pricing & Cost Control
- ARTICLE10.5 Hands-On Lab: Build a Small Script
- ARTICLE11.1 What Is Tool Use / Function Calling
- ARTICLE11.2 Defining Good Tools
- ARTICLE11.3 The Tool-Use Loop
- ARTICLE11.4 The Model Context Protocol (MCP)
- ARTICLE11.5 Hands-On Lab: Give Claude a Tool
- ARTICLE12.1 From Assistant to Agent: The Agent Looppreview
- ARTICLE12.2 Agent Components: Tools, Memory & Control
- ARTICLE12.3 Claude Code in Action
- ARTICLE12.4 Multi-Agent Patterns & Guardrails
- ARTICLE12.5 Hands-On Lab: Design & Run a Simple Agent
- ARTICLE13.1 Connecting Claude to Your Apps
- ARTICLE13.2 Triggers, Actions & Scheduled Jobs
- ARTICLE13.3 End-to-End Pipelines
- ARTICLE13.4 Reliability & Cost for Unattended Runs
- ARTICLE13.5 Hands-On Lab: Build One Automation
- ARTICLE14.1 Limitations: Hallucinations, Bias & Cutoffpreview
- ARTICLE14.2 Verification & Human Oversight
- ARTICLE14.3 Privacy, Confidentiality & IP
- ARTICLE14.4 Responsible-Use Principles
- ARTICLE14.5 Hands-On Lab: A Responsible-Use Audit
- QUIZPart 3 Knowledge Check
- ARTICLE15.1 Choosing Your Capstonepreview
- ARTICLE15.2 Planning & Scoping
- ARTICLE15.3 Building Your Solution
- ARTICLE15.4 Documentation & Presentation
- ARTICLE15.5 Certification & Next Steps
- ARTICLE16.1 The Complete Prompt-Template Librarypreview
- ARTICLE16.2 Developer Code Pack: Real, Runnable Examplespreview
- ARTICLE16.3 Worked Lab Solutions — Parts 1 & 2
- ARTICLE16.4 Worked Lab Solutions — Part 3 (Technical)
- ARTICLE16.5 A Fully Worked Sample Capstonepreview
- ARTICLE16.6 Quick-Reference Cheat Sheets
- ARTICLE16.7 Common Mistakes & Pro Tips
- QUIZFinal Assessment
- ARTICLE16.8 Course Resources & Downloadspreview
Description
Go from curious beginner to confident AI builder. Mastering Claude AI is a complete, hands-on program that teaches you to use Claude — Anthropic's frontier AI assistant — for real work, real projects, and real automation.
Across 15 modules and 80+ lessons spanning four progressive levels, you'll go from your very first conversation to building automated workflows and AI agents. It's built for a mixed audience: everyday users, marketers and business owners, and developers. Early modules assume zero experience; later modules go deep into the Claude API, tool use, the Model Context Protocol (MCP), and autonomous agents.
What's included
- 80+ structured, example-rich written lessons across 15 modules
- A complete copy-and-paste Prompt-Template Library
- Worked solutions and example deliverables for every hands-on lab
- A runnable code pack for the developer modules (API, tool use, MCP, agents)
- Quick-reference cheat sheets and a fully worked sample capstone
- Lifetime access and free updates as Claude evolves
What you'll learn
- How large language models and Claude actually work — in plain language
- Prompting fundamentals and advanced prompt engineering that get reliable results
- Working with documents, images, long context, Projects and Artifacts
- Applying Claude to content, marketing, SEO, and business productivity
- Building on the Claude API: tool use, function calling, and MCP
- Designing AI agents and automated workflows — responsibly and safely
How it works
Every module includes clear explanations, real examples, and a hands-on lab with a worked solution, so you do the work, not just read about it. You finish by planning and building a capstone project of your own, guided by a complete worked example.
Who it's for
Beginners who want practical AI skills, professionals who want to work faster, marketers who want to scale content, and developers who want to ship with Claude.
About your instructor
Created by Ranjan Barman, founder of Ranjan Digital — a digital-marketing trainer and practitioner who uses Claude daily across content, SEO, and automation. (Instructor: please personalize this bio with your background and results.)
By the end, you won't just know about Claude — you'll be able to build with it.
_Last updated: June 2026._
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