AI-assisted Programming for Web and Machine Learning
Dr. Muralidhar Kurni
This audiobook is narrated by a digital voice.
DESCRIPTION
Artificial intelligence is redefining how software is created, enabling developers to code faster, improve accuracy, and bring innovative ideas to life. In today's competitive technology landscape, AI-assisted programming is no longer optional; it's a core skill for building modern web applications and machine learning solutions.
This book systematically guides you through the whole development cycle. You will start with the foundations of understanding AI-assisted programming, setting up your environment, and mastering prompt engineering. You will then discover how AI can accelerate front end and back end web development, enhance debugging, and optimize performance. You will also explore data preprocessing, model creation, training, and deploying optimized solutions with the help of real-world examples, case studies, and hands-on exercises, ensuring you can apply every concept in practice. Also, by mastering prompt engineering, you will be able to generate, debug, and optimize code across both these high-demand fields.
By the end of this book, you will have the confidence and skills to integrate AI into your workflow, automate time-consuming tasks, build intelligent applications, and deliver impactful, future-ready solutions.
WHAT YOU WILL LEARN
● Apply prompt engineering effectively for web and ML projects.
● Develop AI-powered front end and back end applications efficiently.
● Automate debugging, testing, and performance optimization with AI.
● Integrate AI tools seamlessly into full-stack development workflows.
● Train, fine-tune, and deploy scalable ML models in the cloud.
● Understand AI-assisted programming concepts and set up development tools.
● Preprocess data and create AI-driven machine learning pipelines.
Duration - 20h 51m.
Author - Dr. Muralidhar Kurni.
Narrator - Digital Voice Madison G.
Published Date - Sunday, 05 January 2025.
Copyright - © 2026 BPB ©.
Location:
United States
Networks:
Dr. Muralidhar Kurni
Digital Voice Madison G
BPB Publications
English Audiobooks
Findaway Audiobooks
Description:
This audiobook is narrated by a digital voice. DESCRIPTION Artificial intelligence is redefining how software is created, enabling developers to code faster, improve accuracy, and bring innovative ideas to life. In today's competitive technology landscape, AI-assisted programming is no longer optional; it's a core skill for building modern web applications and machine learning solutions. This book systematically guides you through the whole development cycle. You will start with the foundations of understanding AI-assisted programming, setting up your environment, and mastering prompt engineering. You will then discover how AI can accelerate front end and back end web development, enhance debugging, and optimize performance. You will also explore data preprocessing, model creation, training, and deploying optimized solutions with the help of real-world examples, case studies, and hands-on exercises, ensuring you can apply every concept in practice. Also, by mastering prompt engineering, you will be able to generate, debug, and optimize code across both these high-demand fields. By the end of this book, you will have the confidence and skills to integrate AI into your workflow, automate time-consuming tasks, build intelligent applications, and deliver impactful, future-ready solutions. WHAT YOU WILL LEARN ● Apply prompt engineering effectively for web and ML projects. ● Develop AI-powered front end and back end applications efficiently. ● Automate debugging, testing, and performance optimization with AI. ● Integrate AI tools seamlessly into full-stack development workflows. ● Train, fine-tune, and deploy scalable ML models in the cloud. ● Understand AI-assisted programming concepts and set up development tools. ● Preprocess data and create AI-driven machine learning pipelines. Duration - 20h 51m. Author - Dr. Muralidhar Kurni. Narrator - Digital Voice Madison G. Published Date - Sunday, 05 January 2025. Copyright - © 2026 BPB ©.
Language:
English
Title Page
Duración:00:00:22
Copyright Page
Duración:00:01:21
About the Authors
Duración:00:03:40
About the Reviewers
Duración:00:02:11
Acknowledgements
Duración:00:01:09
Preface
Duración:00:10:59
Table of Contents
Duración:00:44:24
1. AI in Programming
Duración:00:00:04
Introduction
Duración:00:02:03
Structure
Duración:00:00:25
Objectives
Duración:00:01:10
History of AI in programming
Duración:00:00:39
Early beginnings
Duración:00:03:35
Rise of machine learning
Duración:00:02:06
Neural networks take center stage
Duración:00:02:19
Current era
Duración:00:03:34
Benefits and use cases of AI in coding
Duración:00:00:34
Enhanced productivity
Duración:00:07:13
Improved code quality
Duración:00:05:36
Important caveat when reviewing AI-generated code carefully
Duración:00:01:20
Accessibility for beginners
Duración:00:03:35
Facilitation of innovation
Duración:00:04:12
AI enhances coding
Duración:00:00:34
Overview of GitHub Copilot and ChatGPT capabilities
Duración:00:00:29
GitHub Copilot
Duración:00:04:25
How GitHub Copilot makes advanced tasks easier
Duración:00:02:36
ChatGPT
Duración:00:06:38
Synergy between GitHub Copilot and ChatGPT
Duración:00:02:03
Key milestones in AI-assisted development
Duración:00:15:30
Current challenges in adopting AI Tools
Duración:00:17:13
Conclusion
Duración:00:01:22
Questions
Duración:00:02:57
Exercises
Duración:00:02:54
2. Setting up Your AI Environment
Duración:00:00:04
Installing and configuring VS Code
Duración:00:00:30
Downloading and installing VS Code
Duración:00:01:34
Customizing VS Code for AI development
Duración:00:01:51
Must-have extensions for AI programming
Duración:00:02:14
Boosting productivity with advanced customization
Duración:00:01:56
Case study: How VS Code can revolutionize an AI team’s workflow
Duración:00:02:20
Emerging AI tools for developers
Duración:00:01:39
Using Jupyter Notebook for data-driven projects
Duración:00:00:30
Setting up Jupyter Notebook
Duración:00:02:02
Key points
Duración:00:00:28
Launching Jupyter Notebook
Duración:00:01:43
Common troubleshooting tips
Duración:00:00:37
Advanced setups
Duración:00:00:43
Customization options
Duración:00:00:47
Enhancing data exploration with AI tools
Duración:00:03:32
Advanced visualizations
Duración:00:01:04
Collaborating effectively on Notebooks
Duración:00:00:56
Real-world use cases
Duración:00:02:38
Managing version control with Git and GitHub
Duración:00:00:45
Git fundamentals and core concepts
Duración:00:00:42
Setting up Git
Duración:00:01:14
Core Git commands
Duración:00:01:16
Leveraging GitHub for collaboration
Duración:00:01:56
Automating version control with AI-powered tools
Duración:00:00:48
Advanced Git techniques
Duración:00:00:46
Best practices for version control
Duración:00:00:59
Introduction to Docker for containerized workflows
Duración:00:00:47
Relevance of containerization for AI development
Duración:00:00:26
Key challenges in AI development
Duración:00:01:46
Overcoming AI development challenges with Docker
Duración:00:02:04
Docker versus virtual machines
Duración:00:01:53
Choosing Docker over VMs for AI development
Duración:00:00:26
Understanding key Docker components
Duración:00:01:26
Components working together in AI development
Duración:00:01:18
Building a Docker environment for AI development
Duración:00:02:35
Steps to build and run the container
Duración:00:00:52
Expanding your Docker AI environment
Duración:00:00:41
Role of agents in automating software development tasks
Duración:00:00:58
Significance of automation in software development
Duración:00:01:52
AI agents solving these challenges
Duración:00:01:47
Types of AI agents in software development
Duración:00:04:32
Integrating AI agents into development workflows
Duración:00:04:10
Case study
Duración:00:02:54
Best practices for integrating AI tools into development environments
Duración:00:00:41
Selecting the right AI tools for development workflows
Duración:00:00:21
AI tools for different development tasks
Duración:00:01:21
Selecting AI tools for maximum efficiency
Duración:00:01:03
Optimizing AI-powered development workflows
Duración:00:00:23
Best practices for AI-powered development
Duración:00:02:18
Security considerations for AI-integrated development
Duración:00:00:22
Potential security risks in AI-powered development
Duración:00:02:11
Best practices for securing AI-enhanced workflows
Duración:00:01:03
Enhancing collaboration with AI tools
Duración:00:00:22
Best practices for AI-enhanced collaboration
Duración:00:01:46
Continuous learning and AI adaptation in development
Duración:00:00:24
Best practices for AI learning and adaptation
Duración:00:01:37
Future trends in AI-assisted development
Duración:00:00:26
Stay ahead by learning AI-powered DevOps techniques
Duración:00:00:43
3. Prompt Engineering
Duración:00:00:04
Understanding prompt engineering best practices and challenges
Duración:00:01:59
Evolution of generative AI and the emergence of Transformers
Duración:00:02:29
AI models interpreting and processing prompts effectively
Duración:00:04:14
Common prompt engineering mistakes
Duración:00:01:32
Advanced prompt engineering techniques
Duración:00:02:33
Choosing the right prompting technique
Duración:00:00:42
Common challenges in prompt engineering
Duración:00:00:16
Handling AI hallucinations
Duración:00:01:24
Avoiding prompt injection attacks
Duración:00:00:47
Ethical considerations in prompt engineering
Duración:00:02:13
Building a prompt engineering workflow
Duración:00:00:19
Step-by-step guide to effective prompt engineering
Duración:00:01:08
Designing effective prompts for accurate code generation
Duración:00:00:39
Principles of writing clear and effective prompts
Duración:00:01:24
Key considerations
Duración:00:00:37
Pro tips for writing effective prompts
Duración:00:01:20
Structuring prompts for more precise output
Duración:00:00:40
Refining a prompt
Duración:00:01:21
AI debugging with prompt engineering
Duración:00:02:12
Expanding prompt engineering with advanced techniques
Duración:00:00:22
Multi-turn prompting
Duración:00:00:55
Chain-of-thought prompting
Duración:00:00:37
Meta-prompting
Duración:00:00:36
Quick reference guide for prompt engineering strategies
Duración:00:02:23
Crafting prompts for debugging and error resolution
Duración:00:00:50
AI debugging capabilities
Duración:00:01:48
AI debugging workflow
Duración:00:01:52
Writing prompts to identify errors and provide fixes
Duración:00:03:15
Customizing prompts for web development and machine learning tasks
Duración:00:01:19
Using AI for front end development
Duración:00:08:09
AI-powered back end code suggestions
Duración:00:00:51
API authentication workflow
Duración:00:05:28
Practical examples of prompt engineering for task optimization
Duración:00:00:55
Automating repetitive coding tasks with AI prompts
Duración:00:04:18
Enhancing data processing efficiency using AI
Duración:00:03:22
Automating API calls and monitoring with AI
Duración:00:03:31
AI for debugging and code optimization
Duración:00:03:20
Case studies highlighting real-world applications
Duración:00:00:37
AI-assisted development in a software startup
Duración:00:04:31
AI-driven rapid prototyping in a hackathon
Duración:00:01:13
Performance benchmark
Duración:00:02:33
AI-generated React and Tailwind UI code
Duración:00:02:53
AI-powered code optimization in enterprise tech
Duración:00:01:32
AI-generated query optimization for large-scale data pipelines
Duración:00:02:57
4. AI in Front end Development
Duración:00:00:04
Automating HTML and CSS generation with AI
Duración:00:00:54
Enhancing front end development with AI
Duración:00:01:03
AI-powered HTML code generation
Duración:00:04:42
Importance of AI-generated HTML
Duración:00:01:27
AI-assisted CSS styling and optimization
Duración:00:02:05
Benefits of AI-assisted CSS styling
Duración:00:01:33
AI-generated JSX for React applications
Duración:00:02:16
Benefits of AI-generated JSX for React applications
Duración:00:01:23
AI-powered debugging and JSX error fixes
Duración:00:02:00
Advantages of AI-powered JSX debugging
Duración:00:01:09
AI-powered code comparison
Duración:00:01:27
Importance of an AI-based approach
Duración:00:01:07
Enhancing JavaScript development workflows
Duración:00:00:31
AI-generated JavaScript functions
Duración:00:01:37
AI-driven JavaScript development
Duración:00:01:45
Seamless integration with React
Duración:00:00:54
AI-generated event listeners in JavaScript
Duración:00:01:30
Benefits of AI-generated event listeners
Duración:00:01:20
AI-generated JavaScript for React state management
Duración:00:02:03
Advantages of AI-generated state management
Duración:00:01:22
AI-generated API requests in JavaScript
Duración:00:02:05
Benefits of AI-generated API requests
Duración:00:01:23
AI-powered debugging and error fixing in JavaScript
Duración:00:00:23
Role of AI in debugging JavaScript errors
Duración:00:01:32
Role of AI in JavaScript debugging
Duración:00:01:20
AI-powered JavaScript optimization
Duración:00:01:42
AI tools for UI/UX design and prototyping
Duración:00:00:37
Impact of AI on UI/UX design
Duración:00:01:15
AI-generated wireframes
Duración:00:01:59
AI output using Figma AI
Duración:00:00:33
Benefits of AI-generated wireframes in UI design
Duración:00:00:44
Case study: SaaS company using AI for wireframing
Duración:00:01:00
Importance of AI-driven wireframing
Duración:00:00:23
AI-assisted layout optimization and design suggestions
Duración:00:01:34
Real-world impact of AI-optimized UI layouts
Duración:00:00:35
Benefits of AI-driven layout optimization
Duración:00:00:46
AI-generated color palettes and typography selection
Duración:00:00:30
Benefits of AI-generated color and typography suggestions
Duración:00:02:35
AI-suggested colors powered by Khroma and Adobe Sensei
Duración:00:00:45
AI-generated typography pairing powered by Fontjoy
Duración:00:00:25
Benefits of AI-assisted color and typography selection
Duración:00:01:01
AI-driven UX testing and user behavior analysis
Duración:00:00:46
Key findings from AI analysis
Duración:00:00:27
AI-suggested fixes
Duración:00:00:39
Impact of AI-driven UX enhancements
Duración:00:00:27
Importance of AI-driven UX analysis
Duración:00:00:41
AI-generated UI components for prototyping
Duración:00:00:27
Benefits of AI-generated UI components
Duración:00:02:59
Leveraging React for dynamic front end projects
Duración:00:00:42
Impact of AI on React development
Duración:00:01:05
AI-generated React components
Duración:00:00:31
Benefits of AI-generated React components
Duración:00:02:57
AI-optimized state management in React
Duración:00:00:30
Benefits of AI-optimized state management
Duración:00:02:00
Benefits of AI-generated state management
Duración:00:01:27
AI-assisted JSX code fixes and debugging
Duración:00:01:50
Benefits of AI-assisted JSX debugging
Duración:00:02:06
Role of AI in JSX debugging
Duración:00:01:19
AI-generated API calls in React
Duración:00:02:29
Benefits of AI-generated API handlers
Duración:00:01:16
AI-assisted performance optimization in React
Duración:00:00:27
Impact of AI on React performance
Duración:00:01:43