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"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh PalPankaj Kumar Agrawal(PMP®) is a seasoned IT leader and AI Practitioner with nearly two decades of experience across OTT/Telecom, Insurance, and Manufacturing. He has built his career at the intersection of technology, data, and business—leading complex digital transformation initiatives and delivering AI/ML-driven solutions at enterprise scale. Pankaj holds a Master’s degree in Computer Applications from RGPV, Bhopal, and an Executive Post Graduate Diploma in AI and ML from IIIT Bangalore, strengthening his ability to bridge academic depth with real-world implementation. Outside of work, Read More...
Pankaj Kumar Agrawal(PMP®) is a seasoned IT leader and AI Practitioner with nearly two decades of experience across OTT/Telecom, Insurance, and Manufacturing. He has built his career at the intersection of technology, data, and business—leading complex digital transformation initiatives and delivering AI/ML-driven solutions at enterprise scale.
Pankaj holds a Master’s degree in Computer Applications from RGPV, Bhopal, and an Executive Post Graduate Diploma in AI and ML from IIIT Bangalore, strengthening his ability to bridge academic depth with real-world implementation.
Outside of work, Pankaj is an avid traveler and passionate foodie who enjoys discovering new cultures and cuisines—reflected in his Local Guide Level 7 badge on Google Maps. He is also a fan of thrillers and crime dramas, and his business-family background gives him a natural instinct for finance, strategy, and problem-solving.
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Master the complete spectrum of Data Science and AI — from classical Machine Learning to modern Generative AI.
Foundations and Frontiers of AI is a practical and comprehensive guide featuring 360+ expertly crafted interview questions with clear explanations. It prepares you to confidently discuss ML, Deep Learning, NLP, LLMs, RAG, LangChain, and real-world enterprise use cases. The book blends fundamentals with cutting-edge topics and is d
Master the complete spectrum of Data Science and AI — from classical Machine Learning to modern Generative AI.
Foundations and Frontiers of AI is a practical and comprehensive guide featuring 360+ expertly crafted interview questions with clear explanations. It prepares you to confidently discuss ML, Deep Learning, NLP, LLMs, RAG, LangChain, and real-world enterprise use cases. The book blends fundamentals with cutting-edge topics and is designed to support both interview preparation and real project work.
Question Coverage Includes:
• Machine Learning: 94
• Model Selection & Optimization: 23
• Unsupervised Learning: 14
• Deep Learning: 86
• Natural Language Processing: 39
• GenAI, LLMs, RAG, LangChain & Agentic AI: 105
• Supported with diagrams and examples for clarity
Perfect for:
• Data Science and ML interview preparation
• Students and working professionals
• AI/ML engineers exploring GenAI and RAG
• Teams building LLM or LangChain-based applications
• Anyone seeking a modern, end-to-end understanding of AI
If you want a single resource that combines core concepts with emerging AI techniques, this handbook is for you
Master the complete spectrum of Data Science and AI — from classical Machine Learning to modern Generative AI.
Foundations and Frontiers of AI is a practical and comprehensive guide featuring 360+ expertly crafted interview questions with clear explanations. It prepares you to confidently discuss ML, Deep Learning, NLP, LLMs, RAG, LangChain, and real-world enterprise use cases. The book blends fundamentals with cutting-edge topics and is d
Master the complete spectrum of Data Science and AI — from classical Machine Learning to modern Generative AI.
Foundations and Frontiers of AI is a practical and comprehensive guide featuring 360+ expertly crafted interview questions with clear explanations. It prepares you to confidently discuss ML, Deep Learning, NLP, LLMs, RAG, LangChain, and real-world enterprise use cases. The book blends fundamentals with cutting-edge topics and is designed to support both interview preparation and real project work.
Question Coverage Includes:
• Machine Learning: 94
• Model Selection & Optimization: 23
• Unsupervised Learning: 14
• Deep Learning: 86
• Natural Language Processing: 39
• GenAI, LLMs, RAG, LangChain & Agentic AI: 105
• Supported with diagrams and examples for clarity
Perfect for:
• Data Science and ML interview preparation
• Students and working professionals
• AI/ML engineers exploring GenAI and RAG
• Teams building LLM or LangChain-based applications
• Anyone seeking a modern, end-to-end understanding of AI
If you want a single resource that combines core concepts with emerging AI techniques, this handbook is for you
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