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All-levels Artificial Intelligence 15h 6m Featured

Claude Code & Cowork Masterclass 2026: Build AI Apps, Autonomous Agents & Business Automation with Skills, Plugins & MCP

Master Claude Code, Cowork, Agent Skills, Plugins & MCP to ship full-stack AI apps, automate finance, legal, marketing and research workflows, and deploy autonomous agent teams — no prior coding required.

8 Chapters
118 Lessons
916 min total
Free

Master Claude Code and Cowork to automate real business work — no coding required Companies are scrambling to hire people who can operate Claude end-to-end. This masterclass makes you that operator: a power user of Claud...

What you'll learn

  • Masterclass Introduction, Outcomes & Workspace Setup
  • Claude Cowork, Skills & Plugins for Workflow Automation
  • Claude Chat Mastery: Research, Writing & Prompt Engineering
  • Claude in Microsoft Excel: Data Analysis & Wall Street Modeling
  • Claude in PowerPoint: Branded Decks & Executive Reports
  • Claude Code Foundations: Setup, Slash Commands, Skills, Hooks & Plugins

+ 2 more chapters below

Engr Mejba Ahmed

Engr. Mejba Ahmed

Course Instructor

100% Free

118 lessons · certificate · no card

Claude Code & Cowork Masterclass 2026: Build AI Apps, Autonomous Agents & Business Automation with Skills, Plugins & MCP

About This Course

Master Claude Code and Cowork to automate real business work — no coding required

Companies are scrambling to hire people who can operate Claude end-to-end. This masterclass makes you that operator: a power user of Claude Code (the agentic terminal that ships full-stack apps) and Claude Cowork (the desktop AI that runs finance, legal, marketing, and research workflows) — with no prior coding experience assumed.

Across 8 build-on-each-other sections you learn to automate the work businesses actually pay for.

What you'll learn:

  • Cowork, Skills & Plugins — automate file and Excel work, connect Gmail/Slack/Salesforce via MCP, and build data-cleaning and financial plugins end-to-end
  • Claude Chat mastery — repeatable research-and-charts pipelines, prompt-engineering patterns (CoT, ReAct, self-critique), and long-form writing without the generic AI tone
  • Claude in Excel — natural-language data analysis, and Wall-Street-style DCF and LBO modeling
  • Claude in PowerPoint — branded, executive-ready decks from a single prompt, with auto speaker notes
  • Claude Code foundations — setup in the desktop app and VS Code, slash commands, Skills, hooks, plugins, MCP servers, and subagents
  • Full-stack apps — build a real app with Claude Code, using CLAUDE.md and context tactics plus Ralph loops for quality
  • Autonomous agents & teams — agent anatomy, the OpenAI Agents SDK, and designing multi-agent teams with roles, handoffs, and orchestration

Who this is for: anyone — coder or not — who wants to turn Claude into a business-automation and app-building engine. By the end you'll ship apps, automate cross-tool workflows, and deploy autonomous agent teams.

Who this course is for

Learners at any level
Developers building real-world skills
Anyone serious about Artificial Intelligence

Suitable for all levels — from newcomers to experienced practitioners.

Course Curriculum

8 chapters 118 lessons 916 min

10 lessons available to preview

3 Success Habits to Get the Most From This Masterclass
4min
4 Download Course Resources, Datasets & Workspace Files
1min
2 Cowork Architecture: How the Desktop Agent Operates Safely
7min
3 Hands-On Demo: File Organization & Excel Skill Walkthrough
15min
4 Model Context Protocol (MCP) & Connectors Explained
7min
5 Hands-On Demo: Connect Gmail to Cowork & Send Smart Replies
8min
6 Tokens & Context Windows: The Cost-of-Thinking Mental Model
10min
7 Practice Question: Estimate Tokens for a Real Workflow
1min
8 Practice Solution: Walking Through the Token Estimate
4min
9 Agent Skills Deep Dive: Anatomy of a SKILL.md File
17min
10 Practical Demo: Build a LinkedIn Post Skill End-to-End
15min
12 Data Cleaning Plugin Build — Part 1: Plugin Scaffold
10min
13 Data Cleaning Plugin Build — Part 2: Pandas Steps & Validation
11min
14 Data Cleaning Plugin Build — Part 3: Reports & Edge Cases
6min
15 Practice Question: Pick the Right Visualization for the Data
1min
16 Practice Solution: Choosing Charts for the Data Story
7min
17 Data Plugin — Part 4: Statistical Analysis & PowerPoint Output
10min
19 Build a Finance Plugin — Part 1: Inputs & Assumptions
13min
20 Build a Finance Plugin — Part 2: DCF Engine & Sensitivities
12min
21 Build a Finance Plugin — Part 3: Reports, Tests & Packaging
9min
22 Connect Slack & Salesforce to Cowork via MCP for Cross-Tool Automation
10min
23 Section Recap: Your Cowork Operator Cheat Sheet
5min
1 Research + Charts in Pure Chat: A Repeatable Pipeline
8min
2 Prompt Engineering Fundamentals: Role, Goal, Constraints
9min
3 Advanced Prompt Patterns: CoT, ReAct & Self-Critique
8min
4 Deep Research Mode: When to Use It & How to Steer It
10min
5 Long-Form Creative Writing Without the Generic AI Tone
6min
6 Brainstorming Frameworks That Beat "Give Me Ideas"
3min
7 Front-End Design Skill: Dashboard from a One-Line Brief
9min
8 PDF → Excel + PowerPoint Financial Extraction Walkthrough
7min
10 Learning Mode: Master Any Topic Faster with Claude Chat
5min
11 Coding in Chat: When Chat Wins Over the IDE
4min
12 Writing Workflows: Drafts, Edits & Style Locking
6min
13 Image Generation: Claude vs. Gemini — Honest Comparison
4min
2 Installing & Authorizing the Claude Excel Add-In
2min
3 Generating Data Insights from Raw Sheets
8min
4 Statistical Summaries & Conditional Row Filters
5min
5 In-Sheet Data Visualization with Claude
6min
6 Sort Datasets Like a Pro Using Natural Language
3min
7 Filter Datasets with Free-Form Claude Prompts
2min
8 Conditional Formatting & Color-Coding via Claude
3min
9 Imputing Missing Values Without Breaking the Distribution
8min
11 Discounted Cash Flow Modeling Intuition Refresher
7min
12 Build a DCF in Claude Step-By-Step
9min
13 Leveraged Buyout (LBO) Concepts Explained Plainly
6min
14 Build an LBO Financial Model in Claude
4min
15 Practice Question: Excel Data Analysis Scenario
3min
16 Practice Solution: Walking Through the Analysis
12min
1 Module Goals & Installing the Claude PowerPoint Add-In
4min
2 Generate Branded Decks from a Single Prompt
11min
3 Auto-Add Speaker Notes for Every Slide
4min
4 Slide Design Polish: Layout, Hierarchy & Color
6min
5 Source Online Content & Re-Tone Slide Copy
7min
6 Convert Long PDFs into Executive-Ready Decks
8min
7 Summarize & Re-Order Existing PPTX Files
7min
8 Generate Decks from a Locked Brand Template
5min
9 Practice Coaching: Claude Reviews Your Delivery
5min
10 Claude vs. Copilot vs. NotebookLM for Decks
10min
1 Method 1: Claude Code in the Desktop App
8min
2 Method 2: Claude Code Inside VS Code (Full Setup)
12min
3 Quick Reference: Mac & Windows Install Commands
1min
4 The Claude Code Mental Model: The Agentic Terminal Loop
12min
5 Project 1 — Landing Page with Pure Claude Code (Part A)
16min
6 Skills in Claude Code: Front-End Design Skill Tour
11min
7 Installing & Verifying the Front-End Design Skill
9min
8 Project 1 — Landing Page Powered by Front-End Skill (Part B)
12min
9 Project Skills vs. .claude Skills: Which Wins & Why
3min
10 Practice Question: Pet Grooming Landing Page Brief
3min
11 Practice Solution: Building the Pet Grooming Page
11min
13 Project 2 — Build a Brand Slash Command (Part 1)
8min
14 Project 2 — Slash Command Logic & Arguments (Part 2)
11min
16 Practice Question: Author a Slash Command for Your Brand
2min
17 Practice Solution: Slash Command Walkthrough
12min
18 Claude Code Plugins: Install, Build & Share
14min
19 Hooks: Automating Pre and Post Tool-Use Events
10min
20 CLAUDE.md Project Memory: What Belongs There
8min
21 MCP Servers in Claude Code (Local & Remote)
9min
22 Subagents: Parallel Specialists for Complex Tasks
8min
23 Foundations Recap & Personal Cheat Sheet
5min
1 Writing a CLAUDE.md That Actually Works
11min
2 Context Window Tactics: Compaction, /clear & /compact
10min
3 Calorie Tracker — Phase 1: Project Init & Gemini API Key
9min
4 Calorie Tracker — Phase 1: First-Run App Build
18min
5 Calorie Tracker — Phase 2: Gemini AI Integration
6min
6 Calorie Tracker — Phase 2: API Routes Plan
6min
7 Calorie Tracker — Phase 2: API Routes Implementation
8min
8 Calorie Tracker — Phase 3: Ralph Loop Plan for Quality
5min
9 Calorie Tracker — Phase 3: Ralph Loop Implementation
11min
1 The 2026 State of AI Agents: Where We Actually Are
8min
2 Agent Anatomy 101: Loop, Tools, Memory & Goals
4min
3 End-to-End Walkthrough: An Agent Doing Real Work
10min
4 MCP 101 for Agent Builders: The Programmatic View
5min
5 Agentic Frameworks Compared: SDKs, LangGraph, CrewAI, Direct
3min
6 OpenAI Agents SDK 101: Core Primitives
5min
7 Run Your First Agent with the OpenAI Agents SDK
5min
8 Personal Finance Agent — Architecture Overview
4min
9 Personal Finance Agent (No Memory) — Code Walkthrough
11min
10 Personal Finance Agent (With Memory) — Code Walkthrough
3min
11 Auto-Build Agents with Claude Code + Agents SDK — Part 1
11min
12 Auto-Build Agents with Claude Code + Agents SDK — Part 2
9min
13 Auto-Build Agents with Claude Code + Agents SDK — Part 3
10min
14 Auto-Build Agents with Claude Code + Agents SDK — Part 4
8min
15 Designing a Team of AI Agents: Roles & Handoffs
8min
16 Agent Team with OpenAI SDK — Part 1: Roles & Skeleton
10min
17 Agent Team with OpenAI SDK — Part 2: Tools & Knowledge
7min
18 Agent Team with OpenAI SDK — Part 3: Handoffs & Routing
7min
19 Agent Team with OpenAI SDK — Part 4: Orchestration & Memory
8min
20 Agent Team with OpenAI SDK — Part 5: Ship, Monitor & Iterate
7min

Your Instructor

Engr Mejba Ahmed — AI School instructor

Engr. Mejba Ahmed

AI Developer · Software Engineer · Entrepreneur

I build production AI systems and full-stack applications for a living, and I teach the exact workflows I use in real projects — not theory. Over 8+ years I've shipped 1,500+ projects, founded Ramlit Limited, and now build agentic AI tooling with Claude, GPT and open models. AI School is where I share that hands-on playbook so you can build and ship real work.

8+ years in production 1,500+ projects shipped Founder, Ramlit Limited

FAQ

Frequently asked questions

Yes. AI School is Open Access — enter your email once to unlock all 118 lessons instantly. No credit card and no trial.

Suitable for all levels — from newcomers to experienced practitioners.

Yes. Complete every lesson to earn a verifiable certificate of completion you can add to your LinkedIn profile and CV.

Forever. Learn at your own pace on any device — your progress is saved automatically as you go.

Engr. Mejba Ahmed — an AI developer and software engineer with 8+ years of hands-on production experience.

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