Why Take This Course?

AI-assisted development is transforming the software industry. Learn to master these tools to stay ahead in the market.

Boost Your Productivity

Developers who master AI tools report productivity increases of up to 55%. Learn to automate repetitive tasks and focus on what truly matters.

Improve Code Quality

AI tools not only accelerate development but also help produce cleaner, well-documented code with fewer bugs when used correctly.

Expand Your Skill Set

Learn new languages, frameworks, and libraries faster with AI assistance. Reduce the learning curve and broaden your technical capabilities.

Stand Out in the Market

Professionals with experience in AI-assisted development are among the most sought-after in the job market. Add this valuable skill to your resume.

Lead Development Teams

Learn to implement AI-assisted workflows in development teams, increasing efficiency and collaboration among team members.

Prepare for the Future

AI-assisted development isn't just a passing trend, but the future of programming. Prepare now for the changes that are transforming the industry.

Key Takeaways From This Course

Master Prompt Engineering

Learn the art and science of crafting effective prompts specifically for code generation, debugging, and software architecture design.

AI Tool Proficiency

Gain hands-on experience with GitHub Copilot, Cursor AI, Claude, ChatGPT, and other leading AI-assisted development tools.

Efficient Workflows

Develop optimized development workflows that seamlessly integrate AI tools to maximize productivity and code quality.

AI-Assisted Debugging

Learn techniques for using AI to identify, diagnose, and fix bugs more efficiently than traditional debugging methods.

Automated Testing

Discover how to leverage AI for generating comprehensive test suites, improving code coverage, and ensuring robust applications.

Best Practices & Limitations

Understand the strengths and limitations of AI coding tools, and learn when and how to use them most effectively in your projects.

Course Curriculum: Mastering AI-Assisted Development

Our comprehensive curriculum covers everything from the fundamentals of AI-assisted development to advanced techniques for specific programming tasks.

Module 1: Foundations

Understand the fundamentals of AI-assisted software development and how it is transforming the industry.

Topics Covered:

  • A New Era for Software Developers: Evolution and Revolution
  • Generative AI: Benefits and Drawbacks
  • A New Way for Developers: Adapting to AI-Assisted Development
  • How AI Coding Technology Works: Key Features and Capabilities
  • Code Suggestions and Context-aware Completions vs. Smart Code Completions
  • Compilers vs. AI-Assisted Programming Tools
  • Generative AI and Large Language Models: Architecture and Functionality
  • Evaluating LLMs and AI-Assisted Programming Tools
  • Types of LLMs and Their Applications in Software Development
Module 2: Prompt Engineering for Developers

Master the art and science of crafting effective prompts for code generation, debugging, and software architecture design.

Topics Covered:

  • The Art and Science of Prompt Engineering
  • Challenges in Prompt Engineering for Code Generation
  • The Prompt: Structure, Components, and Best Practices
  • Prompt Patterns for Different Coding Tasks
  • Context Windows and Token Limitations
  • Chain of Thought Prompting for Complex Problems
  • Few-Shot and Zero-Shot Prompting Techniques
  • Prompt Chaining and Iteration
  • Reducing Hallucinations in Code Generation
  • Security and Privacy Considerations
  • Autonomous AI Agents for Software Development
Module 3: GitHub Copilot Mastery

Gain hands-on experience with GitHub Copilot, the leading AI pair programming tool, and learn how to integrate it into your development workflow.

Topics Covered:

  • GitHub Copilot: Pricing, Versions, and Features
  • Real-world Use Cases: Programming Hardware, Shopify, Accenture
  • Getting Started with Copilot in Different Environments
  • Codespaces and Visual Studio Code Integration
  • Maximizing the Value of Suggestions
  • Effective Comment Writing for Better Code Generation
  • Copilot Chat: Beyond Code Completion
  • Inline Chat for Contextual Assistance
  • Leveraging Open Tabs for Better Context
  • Command Line Interface Integration
  • Copilot Partner Program and Enterprise Features
Module 4: AI-Assisted Programming Tools Ecosystem

Explore a wide range of AI-assisted programming tools beyond GitHub Copilot and learn when to use each one for maximum productivity.

Topics Covered:

  • Windsurf: Features and Getting Started
  • Cursor AI: The AI-native Code Editor
  • Gemini Code Assist: Google's AI Coding Assistant
  • Amazon Q Developer: Enterprise-focused AI Development
  • Cline: Terminal-based AI Coding
  • Tabnine: Self-hosted AI Code Completion
  • Warp Terminal: AI-enhanced Terminal Experience
  • Comparing Tools: Strengths, Weaknesses, and Use Cases
  • Integrating Multiple Tools in Your Workflow
Module 5: General Purpose LLMs for Coding

Learn how to effectively use general-purpose large language models like ChatGPT and Claude for various coding tasks.

Topics Covered:

  • ChatGPT for Coding: Capabilities and Limitations
  • Claude: Advanced Reasoning for Complex Code Problems
  • Gemini: Google's Multimodal AI for Development
  • Handling Tedious Tasks: Regular Expressions, Starter Code, Documentation
  • Claude Code: Specialized Capabilities for Developers
  • OpenAI Codex: The Foundation of Modern AI Coding
  • Automating GitHub Actions with AI
  • Generating and Optimizing Bash Commands
  • Best Practices for Using General-purpose LLMs in Development
Module 6: Practical AI-Assisted Coding

Apply AI-assisted development techniques to real-world coding scenarios and learn best practices for different programming tasks.

Topics Covered:

  • Reality Check: When to Use (and Not Use) AI Assistance
  • Making Judgment Calls with AI-generated Code
  • Learning New Languages and Frameworks with AI
  • Writing Effective Comments for Better AI Suggestions
  • Modular Programming with AI Assistance
  • Starting New Projects: Scaffolding and Architecture
  • Leveraging Autofill for Faster Development
  • Refactoring: From Ninja Code to Clean Code
  • Function Design and Implementation
  • Object-Oriented Programming with AI Assistance
  • Working with Frameworks and Libraries
  • Data Processing and Visualization
  • Frontend Development: HTML, CSS, and JavaScript
  • Creating Graphics and Visual Assets
  • Building and Consuming APIs
Module 7: Debugging, Testing, and Deployment

Master AI-assisted techniques for debugging, testing, and deploying applications with higher quality and efficiency.

Topics Covered:

  • AI-Assisted Debugging: Strategies and Techniques
  • Generating Comprehensive Documentation
  • Code Review with AI: Finding Issues and Suggesting Improvements
  • Unit Testing: Generating Test Cases and Improving Coverage
  • Managing Pull Requests and Code Reviews
  • Deployment Automation and Infrastructure as Code
  • Continuous Integration and Continuous Deployment
  • Monitoring and Performance Optimization
Module 8: The Future of AI-Assisted Development

Explore the future of AI-assisted development and prepare for the evolving landscape of software engineering.

Topics Covered:

  • The Steep Learning Curve: Mastering AI-Assisted Development
  • Major Benefits and ROI of AI-Assisted Development
  • Prompt Engineering as Both Art and Science
  • Beyond Programming: AI for the Entire Software Lifecycle
  • Job Security and Career Growth in the AI Era
  • Ethical Considerations and Responsible AI Use
  • Future Trends and Emerging Technologies
  • Building Your AI-Enhanced Development Career

The curriculum is regularly updated to include the latest AI tools and techniques as they emerge.

Secure Your Spot Now
Developers using AI tools

Who This Course Is For

Professional Developers

Experienced developers looking to enhance their productivity and stay at the forefront of the industry by mastering AI-assisted development techniques.

Tech Leads & Architects

Technical leaders who want to implement AI-assisted development practices in their teams and organizations to boost efficiency and code quality.

Startup Founders & Entrepreneurs

Technically-minded founders who want to leverage AI tools to accelerate development, reduce costs, and bring products to market faster.

Computer Science Students

Advanced CS students who want to complement their theoretical knowledge with practical AI-assisted development skills that will give them an edge in the job market.

Prerequisites

  • Intermediate to advanced programming experience in at least one language
  • Familiarity with version control systems (Git)
  • Basic understanding of software development lifecycle
  • Access to a computer with internet connection and ability to install software

Meet Your Instructor

Marco Antonio Gonzalez Junior

Marco Antonio Gonzalez Junior

Lead Instructor & Solutions Architect & AI Expert

With 20+ years of experience and a deep passion for innovative technologies, software development and architecture, I'm excited to guide you through the world of TypeScript and AI-assisted development. My goal is to empower you with practical skills that you can apply immediately.

Frequently Asked Questions

Get answers to common questions about our Advanced AI-Assisted Software Development course.

Ready to Transform Your Development Skills?

Join our Advanced AI-Assisted Software Development course and stay ahead of the curve in the rapidly evolving world of software engineering.

Enroll Now & Start Learning

Course Schedule

  • 10 weeks, 20 sessions
  • Or at your own pace, if you want to
  • Live online sessions twice weekly
  • Flexible evening and weekend options
  • Start now and finish at your own pace

What's Included

  • 20 live interactive sessions
  • Comprehensive course materials
  • Hands-on projects and exercises
  • Access to AI tools during the course
  • Certificate of completion

Support & Community

  • Weekly office hours with instructor
  • Dedicated Discord community
  • Code review and feedback
  • Lifetime access to course updates

How to Enroll:

Send us an email at coding@vibeclasses.com or WhatsApp to +55 11 91666-2390 with your interest, and we'll guide you through the enrollment process.