What will you in Code Faster with AI: ChatGPT, GitHub Copilot, Tabnine & More Course
- Use AI coding assistants like GitHub Copilot, Amazon CodeWhisperer, and ChatGPT for software development.
- Integrate AI tools into IDEs (VS Code, IntelliJ) to accelerate coding tasks.
- Leverage AI for debugging, code refactoring, documentation, and testing.
- Compare performance of different AI code assistants across real-world tasks.
- Improve development speed, code quality, and productivity with practical workflows.
Program Overview
Module 1: Introduction to AI Code Assistants
⏳ 30 minutes
What are AI code assistants and how they impact modern software development.
Overview of tools: GitHub Copilot, CodeWhisperer, ChatGPT, Cody, and more.
Module 2: GitHub Copilot Essentials
⏳ 45 minutes
Installing and configuring Copilot in VS Code.
Writing, completing, and documenting code with Copilot suggestions.
Module 3: Amazon CodeWhisperer for AWS Developers
⏳ 60 minutes
Using CodeWhisperer for secure, cloud-integrated development.
Generating infrastructure-as-code and AWS SDK functions.
Module 4: Using ChatGPT for Code Generation & Debugging
⏳ 60 minutes
Prompting techniques for ChatGPT-based code generation.
Interactive debugging and learning from explanations.
Module 5: Refactoring, Testing & Documentation with AI
⏳ 60 minutes
Automating refactoring tasks and writing unit tests.
Generating docstrings, comments, and API documentation with AI tools.
Module 6: Integrating AI into Development Workflow
⏳ 75 minutes
Combining AI assistants with Git, CI/CD, and DevOps practices.
Real-world workflows: from requirements to delivery.
Module 7: Comparing AI Assistants: Strengths & Limitations
⏳ 45 minutes
Side-by-side comparison of top assistants.
Evaluating accuracy, productivity, and ethical coding considerations.
Module 8: Capstone Project: Build with AI Assistance
⏳ 60 minutes
Develop a mini project using one or more AI tools.
Assessing productivity gains and reviewing AI-generated code.
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Job Outlook
- High Demand: AI-enhanced development is becoming a new norm across tech companies.
- Career Advancement: Boosts efficiency for full-stack, DevOps, and backend developers.
- Salary Potential: $80K–$160K+ with enhanced productivity skills.
- Freelance Opportunities: Faster delivery of clean, well-documented code using AI tools.
Specification: Code Faster with AI: ChatGPT, GitHub Copilot, Tabnine & More
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