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
Duration:00:00:22
Copyright Page
Duration:00:01:21
About the Authors
Duration:00:03:40
About the Reviewers
Duration:00:02:11
Acknowledgements
Duration:00:01:09
Preface
Duration:00:10:59
Table of Contents
Duration:00:44:24
1. AI in Programming
Duration:00:00:04
Introduction
Duration:00:02:03
Structure
Duration:00:00:25
Objectives
Duration:00:01:10
History of AI in programming
Duration:00:00:39
Early beginnings
Duration:00:03:35
Rise of machine learning
Duration:00:02:06
Neural networks take center stage
Duration:00:02:19
Current era
Duration:00:03:34
Benefits and use cases of AI in coding
Duration:00:00:34
Enhanced productivity
Duration:00:07:13
Improved code quality
Duration:00:05:36
Important caveat when reviewing AI-generated code carefully
Duration:00:01:20
Accessibility for beginners
Duration:00:03:35
Facilitation of innovation
Duration:00:04:12
AI enhances coding
Duration:00:00:34
Overview of GitHub Copilot and ChatGPT capabilities
Duration:00:00:29
GitHub Copilot
Duration:00:04:25
How GitHub Copilot makes advanced tasks easier
Duration:00:02:36
ChatGPT
Duration:00:06:38
Synergy between GitHub Copilot and ChatGPT
Duration:00:02:03
Key milestones in AI-assisted development
Duration:00:15:30
Current challenges in adopting AI Tools
Duration:00:17:13
Conclusion
Duration:00:01:22
Questions
Duration:00:02:57
Exercises
Duration:00:02:54
2. Setting up Your AI Environment
Duration:00:00:04
Installing and configuring VS Code
Duration:00:00:30
Downloading and installing VS Code
Duration:00:01:34
Customizing VS Code for AI development
Duration:00:01:51
Must-have extensions for AI programming
Duration:00:02:14
Boosting productivity with advanced customization
Duration:00:01:56
Case study: How VS Code can revolutionize an AI team’s workflow
Duration:00:02:20
Emerging AI tools for developers
Duration:00:01:39
Using Jupyter Notebook for data-driven projects
Duration:00:00:30
Setting up Jupyter Notebook
Duration:00:02:02
Key points
Duration:00:00:28
Launching Jupyter Notebook
Duration:00:01:43
Common troubleshooting tips
Duration:00:00:37
Advanced setups
Duration:00:00:43
Customization options
Duration:00:00:47
Enhancing data exploration with AI tools
Duration:00:03:32
Advanced visualizations
Duration:00:01:04
Collaborating effectively on Notebooks
Duration:00:00:56
Real-world use cases
Duration:00:02:38
Managing version control with Git and GitHub
Duration:00:00:45
Git fundamentals and core concepts
Duration:00:00:42
Setting up Git
Duration:00:01:14
Core Git commands
Duration:00:01:16
Leveraging GitHub for collaboration
Duration:00:01:56
Automating version control with AI-powered tools
Duration:00:00:48
Advanced Git techniques
Duration:00:00:46
Best practices for version control
Duration:00:00:59
Introduction to Docker for containerized workflows
Duration:00:00:47
Relevance of containerization for AI development
Duration:00:00:26
Key challenges in AI development
Duration:00:01:46
Overcoming AI development challenges with Docker
Duration:00:02:04
Docker versus virtual machines
Duration:00:01:53
Choosing Docker over VMs for AI development
Duration:00:00:26
Understanding key Docker components
Duration:00:01:26
Components working together in AI development
Duration:00:01:18
Building a Docker environment for AI development
Duration:00:02:35
Steps to build and run the container
Duration:00:00:52
Expanding your Docker AI environment
Duration:00:00:41
Role of agents in automating software development tasks
Duration:00:00:58
Significance of automation in software development
Duration:00:01:52
AI agents solving these challenges
Duration:00:01:47
Types of AI agents in software development
Duration:00:04:32
Integrating AI agents into development workflows
Duration:00:04:10
Case study
Duration:00:02:54
Best practices for integrating AI tools into development environments
Duration:00:00:41
Selecting the right AI tools for development workflows
Duration:00:00:21
AI tools for different development tasks
Duration:00:01:21
Selecting AI tools for maximum efficiency
Duration:00:01:03
Optimizing AI-powered development workflows
Duration:00:00:23
Best practices for AI-powered development
Duration:00:02:18
Security considerations for AI-integrated development
Duration:00:00:22
Potential security risks in AI-powered development
Duration:00:02:11
Best practices for securing AI-enhanced workflows
Duration:00:01:03
Enhancing collaboration with AI tools
Duration:00:00:22
Best practices for AI-enhanced collaboration
Duration:00:01:46
Continuous learning and AI adaptation in development
Duration:00:00:24
Best practices for AI learning and adaptation
Duration:00:01:37
Future trends in AI-assisted development
Duration:00:00:26
Stay ahead by learning AI-powered DevOps techniques
Duration:00:00:43
3. Prompt Engineering
Duration:00:00:04
Understanding prompt engineering best practices and challenges
Duration:00:01:59
Evolution of generative AI and the emergence of Transformers
Duration:00:02:29
AI models interpreting and processing prompts effectively
Duration:00:04:14
Common prompt engineering mistakes
Duration:00:01:32
Advanced prompt engineering techniques
Duration:00:02:33
Choosing the right prompting technique
Duration:00:00:42
Common challenges in prompt engineering
Duration:00:00:16
Handling AI hallucinations
Duration:00:01:24
Avoiding prompt injection attacks
Duration:00:00:47
Ethical considerations in prompt engineering
Duration:00:02:13
Building a prompt engineering workflow
Duration:00:00:19
Step-by-step guide to effective prompt engineering
Duration:00:01:08
Designing effective prompts for accurate code generation
Duration:00:00:39
Principles of writing clear and effective prompts
Duration:00:01:24
Key considerations
Duration:00:00:37
Pro tips for writing effective prompts
Duration:00:01:20
Structuring prompts for more precise output
Duration:00:00:40
Refining a prompt
Duration:00:01:21
AI debugging with prompt engineering
Duration:00:02:12
Expanding prompt engineering with advanced techniques
Duration:00:00:22
Multi-turn prompting
Duration:00:00:55
Chain-of-thought prompting
Duration:00:00:37
Meta-prompting
Duration:00:00:36
Quick reference guide for prompt engineering strategies
Duration:00:02:23
Crafting prompts for debugging and error resolution
Duration:00:00:50
AI debugging capabilities
Duration:00:01:48
AI debugging workflow
Duration:00:01:52
Writing prompts to identify errors and provide fixes
Duration:00:03:15
Customizing prompts for web development and machine learning tasks
Duration:00:01:19
Using AI for front end development
Duration:00:08:09
AI-powered back end code suggestions
Duration:00:00:51
API authentication workflow
Duration:00:05:28
Practical examples of prompt engineering for task optimization
Duration:00:00:55
Automating repetitive coding tasks with AI prompts
Duration:00:04:18
Enhancing data processing efficiency using AI
Duration:00:03:22
Automating API calls and monitoring with AI
Duration:00:03:31
AI for debugging and code optimization
Duration:00:03:20
Case studies highlighting real-world applications
Duration:00:00:37
AI-assisted development in a software startup
Duration:00:04:31
AI-driven rapid prototyping in a hackathon
Duration:00:01:13
Performance benchmark
Duration:00:02:33
AI-generated React and Tailwind UI code
Duration:00:02:53
AI-powered code optimization in enterprise tech
Duration:00:01:32
AI-generated query optimization for large-scale data pipelines
Duration:00:02:57
4. AI in Front end Development
Duration:00:00:04
Automating HTML and CSS generation with AI
Duration:00:00:54
Enhancing front end development with AI
Duration:00:01:03
AI-powered HTML code generation
Duration:00:04:42
Importance of AI-generated HTML
Duration:00:01:27
AI-assisted CSS styling and optimization
Duration:00:02:05
Benefits of AI-assisted CSS styling
Duration:00:01:33
AI-generated JSX for React applications
Duration:00:02:16
Benefits of AI-generated JSX for React applications
Duration:00:01:23
AI-powered debugging and JSX error fixes
Duration:00:02:00
Advantages of AI-powered JSX debugging
Duration:00:01:09
AI-powered code comparison
Duration:00:01:27
Importance of an AI-based approach
Duration:00:01:07
Enhancing JavaScript development workflows
Duration:00:00:31
AI-generated JavaScript functions
Duration:00:01:37
AI-driven JavaScript development
Duration:00:01:45
Seamless integration with React
Duration:00:00:54
AI-generated event listeners in JavaScript
Duration:00:01:30
Benefits of AI-generated event listeners
Duration:00:01:20
AI-generated JavaScript for React state management
Duration:00:02:03
Advantages of AI-generated state management
Duration:00:01:22
AI-generated API requests in JavaScript
Duration:00:02:05
Benefits of AI-generated API requests
Duration:00:01:23
AI-powered debugging and error fixing in JavaScript
Duration:00:00:23
Role of AI in debugging JavaScript errors
Duration:00:01:32
Role of AI in JavaScript debugging
Duration:00:01:20
AI-powered JavaScript optimization
Duration:00:01:42
AI tools for UI/UX design and prototyping
Duration:00:00:37
Impact of AI on UI/UX design
Duration:00:01:15
AI-generated wireframes
Duration:00:01:59
AI output using Figma AI
Duration:00:00:33
Benefits of AI-generated wireframes in UI design
Duration:00:00:44
Case study: SaaS company using AI for wireframing
Duration:00:01:00
Importance of AI-driven wireframing
Duration:00:00:23
AI-assisted layout optimization and design suggestions
Duration:00:01:34
Real-world impact of AI-optimized UI layouts
Duration:00:00:35
Benefits of AI-driven layout optimization
Duration:00:00:46
AI-generated color palettes and typography selection
Duration:00:00:30
Benefits of AI-generated color and typography suggestions
Duration:00:02:35
AI-suggested colors powered by Khroma and Adobe Sensei
Duration:00:00:45
AI-generated typography pairing powered by Fontjoy
Duration:00:00:25
Benefits of AI-assisted color and typography selection
Duration:00:01:01
AI-driven UX testing and user behavior analysis
Duration:00:00:46
Key findings from AI analysis
Duration:00:00:27
AI-suggested fixes
Duration:00:00:39
Impact of AI-driven UX enhancements
Duration:00:00:27
Importance of AI-driven UX analysis
Duration:00:00:41
AI-generated UI components for prototyping
Duration:00:00:27
Benefits of AI-generated UI components
Duration:00:02:59
Leveraging React for dynamic front end projects
Duration:00:00:42
Impact of AI on React development
Duration:00:01:05
AI-generated React components
Duration:00:00:31
Benefits of AI-generated React components
Duration:00:02:57
AI-optimized state management in React
Duration:00:00:30
Benefits of AI-optimized state management
Duration:00:02:00
Benefits of AI-generated state management
Duration:00:01:27
AI-assisted JSX code fixes and debugging
Duration:00:01:50
Benefits of AI-assisted JSX debugging
Duration:00:02:06
Role of AI in JSX debugging
Duration:00:01:19
AI-generated API calls in React
Duration:00:02:29
Benefits of AI-generated API handlers
Duration:00:01:16
AI-assisted performance optimization in React
Duration:00:00:27
Impact of AI on React performance
Duration:00:01:43