Agentic Web
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to Cart failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Please try again
Unfollow podcast failed
Please try again
Audible Standard 30-day free trial
Select 1 audiobook a month from our entire collection of titles.
Yours as long as you’re a member.
Get unlimited access to bingeable podcasts.
Standard auto renews for $8.99 a month after 30 days. Cancel anytime.
Buy for $6.50
-
Narrated by:
-
Virtual Voice
-
By:
-
Ajit Singh
This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
Key Features:
1. Beginner to Advanced Progression: The 10-chapter arc is carefully scaffolded, starting with foundational "what" and "why" questions before moving to complex "how-to" implementations, making it accessible for beginners and deeply valuable for advanced learners.
2. Hands-On-First Approach: This is not a book of theory. It is a workbook. You will write code, interact with APIs, build agents, and deploy a full-scale project, ensuring you gain practical, job-ready skills.
3. Real-World Case Studies: We ditch abstract examples in favor of practical scenarios you can relate to, such as building travel planners, customer service bots, research assistants, and automated content creation teams.
4. Capstone Project-Driven Learning: The book culminates in a live, working capstone project—an "AI Research Assistant"—that integrates all the concepts learned. The final chapter provides the complete, explained code, serving as a powerful portfolio piece.
5. Focus on Industry-Standard Tools: Gain proficiency in the most relevant and widely used frameworks and technologies in the AI agent ecosystem, including Python, LangChain, CrewAI, Vector Databases, and major LLM APIs.
6. Ethical AI and Responsible Innovation: We go beyond the code to discuss the crucial aspects of agent safety, evaluation, and the ethical implications of building autonomous systems, preparing you to be a responsible architect of the future.
7. Complete Code Repository: All code examples, hands-on labs, and the final capstone project are available in a companion GitHub repository, allowing for easy access, experimentation, and extension.
7. NEP 2020 & Global Syllabus Compliant: The book's structure promotes critical thinking, problem-solving, and multidisciplinary skills. It includes dedicated sections on ethics and responsible AI, aligning perfectly with the ethos of modern educational frameworks.
Disclaimer: Earnest request from the Author.
Kindly go through the table of contents and refer kindle edition for a glance on the related contents.
Thank you for your kind consideration!
People who viewed this also viewed...
No reviews yet