In this episode, we sit down with Indrajit Kar and Zonunfeli Ralte — authors of Building Multimodal Generative AI & Agentic Applications, Ultimate Genetic Algorithms with Python, and Learn Python Generative AI — to unpack how modern GenAI, multimodal systems, and agentic AI architectures are actually built in the real world.From the motivation behind writing these books to designing production-ready multimodal pipelines, this conversation goes deep into how AI is evolving — and how humans, engineers, and organisations must adapt alongside it.🎧 Here’s what we discuss: • Why they decided to write books on Multimodal AI, Agentic AI & Python GenAI • The real process of creating a technical AI book • Practical real-world examples from the books • How the human role will evolve in agentic AI systems • Native vs horizontal agentic AI architectures • The most impactful parts of the books • Responsible and ethical AI implementation in organisations • How these books help working AI professionals • Key takeaways for readers • High-value real-world use cases of GenAI & Agentic AI • Step-by-step guidance for beginners in AI • India’s current position in GenAI and Agentic AI adoptionWhether you’re a student, AI engineer, data scientist, or tech leader, this episode delivers practical insights into building, scaling, and using next-generation AI systems.Speakers – Indrajit Kar – Author, Building Multimodal Generative AI & Agentic Applications, Ultimate Genetic Algorithms with Python Zonunfeli Ralte – Author, Learn Python Generative AI, Ultimate Genetic Algorithms with Python⸻⏱️ Timestamps 00:00 – Introduction to Multimodal AI & Agentic AI04:20 – Motivation to write books on Generative AI & Python09:07 – The real process of building a technical AI book12:37 – Practical real-world GenAI example from the book18:54 – Challenges of writing AI books in the digital era22:10 – How the human role evolves in Agentic AI systems25:13 – Native vs Horizontal Agentic AI architectures29:50 – Most impactful parts of the Multimodal & GenAI books34:56 – Ensuring responsible & ethical AI in organisations39:13 – How these books help AI professionals42:26 – Key takeaways for readers44:41 – Real-world use cases of Multimodal & Agentic AI47:04 – Beginner roadmap for learning AI & GenAI51:19 – India’s growth in GenAI & Agentic AI adoption54:23 – Conclusion ⸻📩 Contact Us: Want to collaborate, share feedback, or feature on our next episode? 👉 Email us at: abtalks.podcast@gmail.com 👉 Connect on LinkedIn: https://www.linkedin.com/in/anil-bajpai⸻👍 If you enjoyed this video: ✅ Like ✅ Comment your thoughts or questions ✅ Subscribe for more insights on AI, careers, and technology leadership 🔔 Turn on notifications so you don’t miss future episodes#Podcast #ABTalks #AnilBajpai #MultimodalAI #AgenticAI #GenerativeAI #PythonAI #GenAI #ArtificialIntelligence #MachineLearning #DeepLearning #LLM #Transformers #Autoencoders #GeneticAlgorithms #AIPodcast #FutureOfAI #TechLeadership #DigitalTransformation

🎥 In This Episode:We explore the future of tech careers in India, the evolving software job market, and why coders alone won’t build India’s future.Our guest shares his powerful journey from working in risk and marketing analytics in the US, experiencing the 2008 financial crisis firsthand, to moving back to India to build a purpose-driven startup.We dive deep into the reality of India’s job crisis, the gap between fresh graduates and actual employment, and how GenAI, Copilot, and automation are disrupting traditional software roles.⸻⏱️ Timestamps:00:00 - Introduction05:26 - Journey to move to US07:45 - Demand of AgenticAI, ML, Data Science10:25 - Shift to Python15:27 - Phases to Move to India17:52 - Challenges in India21:00 - Off Source22:15 - Standout from other StartUp22:45 - India's Job Market24:33 - Fresher Situation26:30 - Idea for StartUp28:27 - Challenges to Start StartUp28:56 - StartUp Model Learnings31:12 - How to Get First Client35:01 - India's Startup Cities36:52 - Challenges in Hiring Good Talent39:21 - What Data Engineer Do40:37 - Insight of Good Employee 42:40 - What to Include in Resume50:32 - Role of AgenticAI52:03 - Important Skills⸻💡 Highlights:• India tech jobs 2025• Future of work India• AI and coding jobs• Is coding still relevant• Software engineer future India• Startup ecosystem India 2025⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: anilbajpai1987@gmail.com👉 Connect on LinkedIn: https://www.linkedin.com/in/anil-bajpai⸻👍 If you enjoyed this video:✅ Like✅ Comment your thoughts/questions✅ Subscribe for more insights on AI, leadership, and innovation🔔 Turn on notifications so you don’t miss future uploads#futureofwork #indiatechjobs #agenticai #startupindia #codingjobs2025 #genai #indianstartups #returntoindia #careerintech #freshersjobs #resumetips #hiringchallenges #podcast #abtalks

🚀 AI Tools in 2025 are changing everything! From GenAI to the rise of Agentic AI, the future of work is here. If you’re a student, fresher, or professional looking to build a career in data science, AI, or software engineering, mastering these skills will give you a massive career edge.In this podcast, we break down:✅ How GenAI & Agentic AI are reshaping jobs and startups✅ Why freshers can’t rely only on AI tools✅ Skills that will 10X your career growth✅ Future of AI careers, startups, and global opportunitiesWhether you want to land your first job, grow as a developer, or stay ahead of AI trends, this conversation is your ultimate career roadmap for 2025.👉 Don’t just use AI—leverage it to thrive!⸻⏱️ Timestamps:00:00 - Introduction08:18 - Startup Career Difference11:19 - What to Look in Startup Before Joining?13:07 - Market Shift in Hiring Fresher18:30 - How We Are Defining The Productivity Gain?20:36 - Top Two AI Tools For Development22:10 - Criticality of QA Job Role25:32 - What All Use Cases Can be Solved By AI28:09 - What is AI Ethics 34:53 - Where Do We See AI, LLM, Agentic AI in 5 Years40:20 - Some Comparisons 43:23 - Why India Not Building It's Own LLM45:09 - Advice To Be Future Ready47:48 - Advice To Founders⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: anilbajpai1987@gmail.com👉 Connect on LinkedIn: https://www.linkedin.com/in/anil-bajpai⸻👍 If you enjoyed this video:✅ Like✅ Comment your thoughts/questions✅ Subscribe for more insights on AI, leadership, and innovation🔔 Turn on notifications so you don’t miss future uploads