AI-Assisted Coding: Boosting Developer Productivity and Efficiency

AI-Assisted Coding: Boosting Developer Productivity and Efficiency Courseware (AIAC101)

AI

AI-Assisted Coding: Boosting Developer Productivity and Efficiency is a hands-on course for developers and technical teams who want to integrate AI tools like ChatGPT into their everyday coding workflows. Participants learn how to use large language models to write, debug, optimize, and explain code more efficiently while understanding the capabilities, limitations, and responsible use of AI in software development.

Through practical, guided exercises, learners apply AI-assisted techniques across HTML, CSS, JavaScript, SQL, XML, and Python, focusing on real-world tasks such as refactoring, data handling, automation, and problem solving. This course is ideal for organizations and individuals seeking to improve developer productivity, code quality, and confidence using modern AI-assisted development tools.

Publisher: Webucator

Benefits

  • Offer a cutting-edge curriculum that empowers developers to leverage AI tools like ChatGPT for enhanced productivity and efficiency.
  • Equip learners with practical, hands-on experience in AI-assisted coding for web development, data handling, and programming.
  • Provide comprehensive coverage of AI-driven solutions for HTML, CSS, JavaScript, SQL, XML, and Python development.
  • Enable your organization to deliver high-impact training that addresses modern development challenges with AI-powered tools.
  • Help learners streamline workflows, debug effectively, and optimize their code using state-of-the-art AI technologies.
  • Prepare your training audience to tackle real-world coding problems with innovative, AI-supported approaches.
  • Position your training program as a leader in teaching AI integration in software development processes.
  • Enhance your course offerings with engaging exercises and use cases that demonstrate the practical value of AI in coding.

Outline

  1. Overview of Artificial Intelligence and Large Language Models
    1. Overview of Artificial Intelligence and Large Language Models
    2. Large Language Models: Challenges and Risks
    3. ChatGPT Overview and Use Cases
    4. How ChatGPT Helps Developers Write Code
    5. Prepping a ChatGPT Thread
    6. What to Expect in the Course
    7. Getting Started with ChatGPT (Exercise)
  2. Ai Assisted HTML
    1. Creating the Shell of an HTML Page (Exercise)
    2. Creating a Table (Exercise)
    3. Creating a Nested List (Exercise)
    4. Generating Images with ChatGPT
    5. Creating a Series of Images (Exercise)
    6. Creating a Form (Exercise)
    7. Debugging a Poorly Structured HTML Page (Exercise)
    8. ChatGPT Can Analyze Images
    9. Recommended Practice (Exercise)
  3. AI-Assisted CSS
    1. Creating a Basic CSS File (Exercise)
    2. Creating a Responsive Layout (Exercise)
    3. Creating CSS Animations (Exercise)
    4. Optimizing CSS with ChatGPT
    5. Optimizing and Commenting CSS (Exercise)
    6. Recommended Practice (Exercise)
  4. AI-Assisted JavaScript and JSON
    1. Creating a JavaScript Module (Exercise)
    2. Improving JavaScript Code (Exercise)
    3. Validating a Form (Exercise)
    4. Making Use of an API (Exercise)
    5. Recommended Practice (Exercise)
  5. AI-Assisted XML
    1. Generating a Simple XML File (Exercise)
    2. Validating an XML File (Exercise)
    3. Transforming XML with XSLT (Exercise)
    4. Converting XML to JSON (Exercise)
    5. Recommended Practice (Exercise)
  6. AI-Assisted SQL
    1. Analyzing SQL Scripts and Entity Relationship Diagrams (Exercise)
    2. Converting Natural Language Requirements into SQL (Exercise)
    3. Recreating SQL Reports (Exercise)
    4. Explaining Query Execution Plans (Exercise)
    5. Recommended Practice (Exercise)
  7. AI-Assisted Python
    1. Setting Up and Using Google Colab
    2. Writing a Python Module (Exercise)
    3. Debugging and Optimizing Python (Exercise)
    4. Making Use of an API (Exercise)
    5. Creating a Python Script with File I/O (Exercise)
    6. Recommended Practice (Exercise)

Required Prerequisites

  • Basic familiarity with programming concepts and syntax.
  • Understanding of foundational web development (HTML, CSS, and JavaScript).
  • Experience with at least one programming language is recommended.

Useful Prerequisites

Prior exposure to SQL, Python, or XML will be helpful.

License

Length: 3 days | $120.00 per copy

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What is Included?
  • Student Manual
  • Student Class Files