Generative AI with LangChain

AI is redefining how businesses solve problems, automate decisions, and deliver value. LangChain, an emerging framework, streamlines the integration of large language models into real-world applications, making AI more actionable and accessible. Unlock the power of cutting-edge AI with LangChain, a revolutionary Python framework designed to simplify the creation of sophisticated AI applications.

This book begins with the foundational knowledge of AI and LangChain, followed by practical tools like Python, neural networks, and cloud platforms such as AWS and Azure. You will explore LangChain’s architecture and gain hands-on experience integrating LangChain with leading cloud platforms. You will discover how to leverage powerful data science tools like Snowflake and Athena for real-world AI projects. You will analyze AI applications in modern operational frameworks, such as DevOps and MLOps, and gain insights into the exciting future trends, ethical AI practices, and real-world deployment strategies that are shaping the evolution of AI and LangChain.

By the end of this book, readers will confidently design, develop, and deploy intelligent AI applications using LangChain. You will be equipped to solve real-world problems through scalable, cloud-integrated AI systems with strong coding, deployment, and data-handling skills.

WHAT YOU WILL LEARN

* Understand AI fundamentals, LangChain's architecture, ethical AI, and Python setup.
* Master Python basics, control structures, functions, and modules for AI development.
* Explore LangChain's core components, workflow, and practical implementation in AI.
* Apply AI, including LangChain, in DevOps and MLOps for automation and efficiency.
* Explore future AI trends, LangChain's evolving role, and ethical considerations.
* Integrate LangChain with AWS services for scalable AI deployment and management.
* Utilize Snowflake and Athena with LangChain for real-world data-driven AI projects.

WHO THIS BOOK IS FOR

This book is ideal for software developers, AI enthusiasts, data scientists, DevOps engineers, and tech professionals aiming to gain practical skills in AI implementation using LangChain. Educators and students in computer science will also benefit from its hands-on guidance.

1. Introduction to Artificial Intelligence and LangChain
2. Getting Started with Python
3. Understanding LangChain Basics
4. Neural Network with LangChain
5. LangChain and AWS Integration
6. LangChain and Azure Integration
7. Real-world Data Science with Snowflake and Athena
8. AI in DevOps and MLOps
9. Future Trends in AI and LangChain
APPENDIX 1: Additional Resources and References
APPENDIX 2: Glossary of Terms

Dr. Priyanka Singh is a dynamic leader in artificial intelligence, cloud computing, and technical education, with over a decade of experience bridging the gap between industry and academia. A Ph.D. in cloud computing and an engineering manager (AI) at Universal AI, she has led innovative AI-driven projects across transportation, logistics, healthcare, and manufacturing. Her work emphasizes ethical AI development, governance, and impact-driven solutions. Dr. Singh is also a published author and technical reviewer in AI and NLP and a passionate mentor shaping the next generation of technologists. She was recognized as one of the Top 100 Women in Tech (AI) and is the creator of the #AIforLife movement, promoting the use of AI for societal good. Currently, she is transitioning into K-12 education in Arkansas, empowering students as an AP Computer Science educator.

Hariom Singh, the co-author, brings over 15 years of strategic leadership experience in business transformation, technology integration, and AI adoption. With an MBA and a certified PMP/RMP, he excels in bridging business needs with technical execution across various domains. Known for his strategic mindset and data-driven leadership, Hariom champions the responsible use of AI to drive enterprise innovation. He is also a mentor, blogger, and advocate for clear communication and the ethical adoption of AI. His writing and thought leadership can be explored on Medium and LinkedIn.

Together, they bring a powerful blend of technical depth, business insight, and educational impact—committed to shaping a future where AI empowers, educates, and elevates society.