2. What skills will I gain from this AI Coding Course?

You will learn how to generate and explain code, write coding prompts, debug errors, refactor programs, create tests, work with APIs and databases, and build web applications with AI assistance. You will also learn how to review AI-generated code and improve its quality and security.

3. Can an AI coding course help with software development careers?

AI coding skills can complement traditional programming knowledge by supporting code generation, debugging, testing, project planning, and development workflows. The course provides experience with AI-assisted techniques that can be applied across web, application, API, and database development.

4. Do I need programming experience to take this course?

Basic programming knowledge is helpful because the course includes code generation, APIs, databases, testing, and application development. However, the curriculum introduces AI-assisted development concepts progressively, making it accessible to learners building their software development skills.

5. What does the AI Coding Course cover?

The course covers AI-assisted programming, coding prompts, development workflows, testing, debugging, web development, APIs, databases, full-stack applications, security, and responsible coding. Learners also complete projects involving web applications, API integrations, databases, automated tests, debugging, and deployment.

AI Coding Course: Learn Software Development with AI

Category IT & Software

Level Intermediate

Students 15 Already Enrolled

Review

(4.7)

The AI Coding Course: Learn Software Development with AI teaches learners how to use artificial intelligence to support programming, software development, debugging, testing, and application building. It provides a structured introduction to AI-assisted coding tools and techniques for improving development workflows.

Learners explore code generation, functions, components, debugging, refactoring, technical prompting, project planning, APIs, databases, testing, frontend development, backend functionality, and full-stack applications. The course also covers reviewing AI-generated code, improving test coverage, and integrating AI into software development processes.

Security and responsible development are included throughout the training, covering vulnerabilities, credentials, dependencies, licensing, and secure coding practices. Through project-based learning, learners build web applications, API-based projects, database solutions, automated tests, and deployable applications using AI-assisted development techniques.

AI-assisted coding fundamentals and development tools
Coding prompts, code generation, debugging, and refactoring
AI-powered software planning, APIs, databases, and workflows
AI for frontend, backend, web, and full-stack development
AI-assisted testing, code review, and quality improvement
Secure, responsible, and project-based AI coding

Basic computer skills and a general interest in programming or software development are recommended. No advanced AI experience is required, but familiarity with basic programming concepts can help learners progress more effectively. Learners should have access to a computer and suitable development tools.

This course is suitable for aspiring developers, programmers, software engineers, students, technology professionals, and beginners interested in AI-assisted software development. It is also useful for developers who want to use AI tools for coding, debugging, testing, application development, and workflow improvement.

1.1 Understanding AI-Assisted Software Development
1.2 How AI Coding Tools Work
1.3 Generative AI for Programmers
1.4 Benefits and Limitations of AI Coding
1.5 Choosing AI Coding Tools

2.1 Writing Code with AI
2.2 Generating Functions and Components
2.3 Explaining Existing Code
2.4 Improving Code Readability
2.5 Debugging Code with AI
2.6 Refactoring Code Effectively

3.1 Writing Effective Coding Prompts
3.2 Providing Technical Requirements
3.3 Supplying Code Context
3.4 Iterative Code Generation
3.5 Reviewing AI-Generated Solutions
3.6 Creating Reusable Coding Prompts

4.1 Planning Software Projects with AI
4.2 Generating Project Structures
4.3 Building Features with AI
4.4 Working with APIs
4.5 Creating Database Queries
4.6 Integrating AI into Development Workflows

5.1 Generating Unit Tests
5.2 Creating Test Cases
5.3 Identifying Software Bugs
5.4 Debugging Runtime Errors
5.5 Improving Test Coverage
5.6 Reviewing Code Quality

6.1 Building Web Interfaces with AI
6.2 Generating Frontend Components
6.3 Developing Backend Functionality
6.4 Creating API Integrations
6.5 Working with Databases
6.6 Building Full-Stack Applications

7.1 Reviewing AI-Generated Code
7.2 Identifying Security Vulnerabilities
7.3 Protecting Credentials and Secrets
7.4 Managing Dependencies and Libraries
7.5 Understanding Copyright and Licensing
7.6 Applying Secure Coding Practices

8.1 Building a Beginner Web Application
8.2 Creating an API-Based Application
8.3 Developing a Database Project
8.4 Adding Automated Tests
8.5 Debugging and Refining the Application
8.6 Deploying an AI-Assisted Project

The course is suitable for aspiring developers, students, programmers, software professionals, and beginners interested in learning how AI can support software development. Learners with basic programming knowledge can benefit from the technical applications covered throughout the training.

AI Coding Course: Learn Software Development with AI

About AI Coding Course: Learn Software Development with AI

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