Temario del curso
Day 1 | Grasping the Tools and Executing Your First Build
Module 1 | How AI Coding Tools Operate
Key topics:
• Comprehending context windows and their constraints
• The concept of statelessness and how AI models maintain session information
• The Plan → Execute → Review workflow
• Capabilities and limitations of AI coding tools
• Best practices for effective collaboration with AI assistants
Module 2 | Navigating the AI Coding Ecosystem
Key topics:
• Overview of the current AI coding landscape
• Distinctions between tools such as Cursor, GitHub Copilot, and Claude Code
• Selecting appropriate models and tools for specific tasks
• Strengths and weaknesses of various coding assistants
• Practical recommendations for adopting tools within development teams
Module 3 | Crafting Effective Prompts
Key topics:
• Essential components of a successful prompt
• Providing context and clearly defining tasks
• Specifying output formats and constraints
• Common prompting frameworks and templates
• Techniques for enhancing prompt quality and consistency
Module 4 | Initial Coding: Building from Scratch
Key topics:
• Creating a project in an empty directory
• Establishing the initial application structure and scaffolding
• Managing dependencies and project configuration
• Iteratively refining generated code
• Testing and finalizing the solution
Day 2 | Working with Existing Codebases, Customization, and Review
Module 5 | Engaging with a Codebase
Key topics:
• Navigating and understanding unfamiliar code structures
• Querying and analyzing existing projects using AI tools
• Mapping application architecture and dependencies
• Generating documentation and technical summaries
• Accelerating onboarding into ongoing projects
Module 6 | Daily Tasks: Bug Fixes, Features, and Testing
Key topics:
• Utilizing AI tools to diagnose and resolve bugs
• Implementing new features and enhancements
• Writing and improving automated tests
• Validating generated code and modifications
• Boosting productivity in everyday development activities
Module 7 | Customization: Understanding the Basics
Key topics:
• Understanding project rules and configuration files
• Introduction to AGENTS.md and project memory concepts
• Scope and application of personalization mechanisms
• Best practices for configuring AI assistants
• Overview of advanced implementation strategies
Module 8 | Guardrails, Risks, and Human Judgment
Key topics:
• Reviewing and validating AI-generated code
• Understanding common failure modes and limitations
• Recognizing prompt injection and security threats
• Determining which tasks can be delegated to AI
• Applying human judgment and maintaining accountability in software development
Requerimientos
No previous coding or AI tool experience is necessary.
Familiarity with code or Git is beneficial.
A licensed account for Claude Code, Cursor, or Copilot is required.
Target Audience:
The course is ideal for individuals new to AI-assisted development, including non-coders, occasional programmers, and technical-adjacent professionals in QA, data, product, or operations. No prior development background is assumed.
Reseñas (2)
Usando Claude Code de manera más eficiente
Virgil Trif - Frequentis
Curso - Claude Code: Agentic AI Development · 1-Day
Traducción Automática
"Aprendí el potencial de la herramienta y adquirí las habilidades necesarias para empezar a usarla en mi trabajo de inmediato"
Angelo Moro
Curso - Claude AI for Developers: Building AI-Powered Applications
Traducción Automática
