All-levels Artificial Intelligence 14+ hours Featured

Claude Opus 4.7 Masterclass 2026: Build Production AI Apps (Beginner to Expert)

Master Anthropic's 2026 flagship model: 1M context, adaptive thinking, task budgets, tool use, high-res vision, memory, and production patterns.

11 Chapters

61 Lessons

607 min total

Open Access

What you'll learn

Introduction to Claude Opus 4.7
Core API Fundamentals
The 1M Token Context Window
Adaptive Thinking & Effort Control
Task Budgets — Self-Moderating Agents
Tool Use & Function Calling Mastery

+ 5 more chapters below

Engr. Mejba Ahmed

Course Instructor

Open Access / Start learning instantly

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Chapters 11

Lessons 61

Duration 14+ hours

Level All-levels

Certificate On Completion

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About This Course

The definitive 2026 course for Anthropic's most capable model. You will learn every production-grade capability of Claude Opus 4.7 — the 1M-token context window, the new adaptive thinking system, task budgets, the xhigh effort level, high-resolution image support, the Memory tool, Managed Agents, parallel tool use, and the new tokenizer. We cover everything that changed from Opus 4.6, run real migration drills, and build production agents step by step. By the end you will be able to architect, ship, and operate Opus 4.7 systems confidently — from your first API call to a monitored agent running in production.

Who this course is for:

AI engineers and full-stack developers shipping real products.
Prompt engineers upgrading from Opus 4.6 to 4.7.
Technical founders building AI SaaS or agent products.
Engineering managers evaluating Opus 4.7 for their teams.

What you will build:

A long-context codebase assistant (1M tokens).
A budget-aware autonomous research agent.
An image-understanding QA bot (3.75MP images).
A memory-backed multi-turn engineering agent.
A cost-optimised production chat system with prompt caching.

Every lesson is grounded in the official Anthropic documentation and reflects behaviour verified against the claude-opus-4-7 model at release. The course is updated as Anthropic publishes new features so your investment stays current.

Course Curriculum

11 chapters 61 lessons 607 min

3 lessons available to preview

1 Welcome & Course Roadmap

Preview 6min

2 What's New in Claude Opus 4.7 (High-Level Tour)

Preview 8min

3 Opus 4.7 vs 4.6 vs Sonnet 4.6 vs Haiku 4.5 — Picking the Right Model

10min

4 Setting Up Your Anthropic API Key & Local Environment

Preview 8min

5 Your First Opus 4.7 API Call (Hands-On)

10min

1 Anatomy of a Messages API Request

10min

2 Model IDs, Variants & Version Pinning

8min

3 System Prompts vs User Messages — Cache Strategy

10min

4 Streaming Responses with Server-Sent Events

9min

5 Error Handling, Rate Limits & Retries

10min

6 The New Tokenizer — Why Your Costs May Change 35%

8min

1 Why 1M Context Changes How You Build

9min

2 1M Context Pricing — No Long-Context Premium

8min

3 Prompt Caching at Scale — The 90% Discount

12min

4 Project: Load an Entire Codebase Into Opus 4.7

14min

5 When Not to Use 1M — Latency & Compaction Patterns

10min

1 Why Anthropic Removed Extended Thinking Budgets

9min

2 Adaptive Thinking — Configuration & Defaults

9min

3 The `effort` Parameter — Minimum to xhigh

11min

4 xhigh — When to Reach for the Top Setting

10min

5 Display Modes: Omitted vs Summarized Thinking

8min

6 Migrating an Opus 4.6 Prompt to 4.7 — Live Example

12min

1 What Task Budgets Are — and Why They Matter

10min

2 task_budget vs max_tokens — The Critical Difference

9min

3 Enabling the Beta Header & SDK Usage

8min

4 Sizing Task Budgets for Real Workflows

10min

5 Project: A Budget-Aware Research Agent

15min

1 Defining Tools — Name, Description, Input Schema

9min

2 The Tool-Use Request/Response Loop

11min

3 Parallel Tool Calls — Speed & Cost

10min

4 Fewer-Tools-by-Default — The 4.7 Behaviour Shift

9min

5 Managed Agents vs Self-Hosted Agent Loops

9min

6 Tool-Use Debugging Patterns

10min

1 The 3.75MP / 2576px Image Support Leap

8min

2 1:1 Pixel-to-Coordinate Mapping

9min

3 Chart, Diagram, and Document Analysis

11min

4 Computer Use with Opus 4.7 — When to Use It

10min

5 Project: QA a UI from Screenshots

13min

1 Why Opus 4.7 Is Better at Memory

9min

2 The Anthropic Memory Tool (Client-Side)

9min

3 File-System Memory Pattern (Custom)

11min

4 Scratchpad Patterns for Complex Tasks

10min

5 Project: A Memory-Backed Engineering Agent

14min

1 More Literal Instruction Following

9min

2 Remove the "Double-Check" Scaffolding

10min

3 Structuring Prompts for Maximum Cacheability

10min

4 Managing the New Opinionated Tone

8min

5 Five Before/After Prompts Refactored for 4.7

10min

6 A Production Prompt Template Library

11min

1 The Complete Migration Checklist

11min

2 Breaking Change: Sampling Parameters Removed

8min

3 Breaking Change: Thinking Budgets → Adaptive

9min

4 A/B Testing 4.6 vs 4.7 in Production

11min

5 Observability for Opus 4.7 in Production

11min

6 Rollback Strategy & Kill Switches

10min

1 Project 1: An AI Code Review Bot

12min

2 Project 2: Long-Context Document Q&A (1M Tokens)

13min

3 Project 3: Claude Code + Opus 4.7 Custom Skill

12min

4 Safety, Security & Responsible Deployment

11min

5 Career Path & Monetising Opus 4.7 Skills

12min

6 Course Wrap-Up & What to Build Next

6min

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Claude Opus 4.7 Masterclass 2026: Build Production AI Apps (Beginner to Expert)

What you'll learn

About This Course

Course Curriculum

Introduction to Claude Opus 4.7

Core API Fundamentals

The 1M Token Context Window

Adaptive Thinking & Effort Control

Task Budgets — Self-Moderating Agents

Tool Use & Function Calling Mastery

High-Resolution Vision & Computer Use

Memory & Long-Running Agents

Prompt Engineering for Opus 4.7

Migration & Production Operations

Real-World Projects & Career

Enjoying the free courses?

Get AI School Daily on LinkedIn

Ratings & Reviews

No reviews yet

Share Your Experience

Continue Learning

Building AI Agents with Claude: From Prompts to Production

How to Build Million-Dollar SaaS Applications Using Claude Code (Opus 4.6 & Sonnet 4.6)

AI Automation with Python: Build 10 Production-Ready Intelligent Systems

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Engr Mejba Ahmed

Hey there!

Claude Opus 4.7 Masterclass 2026: Build Production AI Apps (Beginner to Expert)

What you'll learn

Get Full Access

Get Full Access

About This Course

Course Curriculum

Introduction to Claude Opus 4.7

Core API Fundamentals

The 1M Token Context Window

Adaptive Thinking & Effort Control

Task Budgets — Self-Moderating Agents

Tool Use & Function Calling Mastery

High-Resolution Vision & Computer Use

Memory & Long-Running Agents

Prompt Engineering for Opus 4.7

Migration & Production Operations

Real-World Projects & Career

Enjoying the free courses?

Get AI School Daily on LinkedIn

Ratings & Reviews

No reviews yet

Share Your Experience

Continue Learning

Building AI Agents with Claude: From Prompts to Production

How to Build Million-Dollar SaaS Applications Using Claude Code (Opus 4.6 & Sonnet 4.6)

AI Automation with Python: Build 10 Production-Ready Intelligent Systems

Engr Mejba Ahmed

Hey there!