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

AI is reshaping healthcare and pharma faster than ever before. 💊🤖In this podcast, we dive deep into how AI, GenAI, and Agentic AI are transforming drug discovery, telemedicine, regulatory processes, and healthcare jobs.From the $2.8B cost of bringing a drug to market to Big Tech partnerships with Microsoft, Google, and Nvidia, we explore how AI in healthcare is changing everything — from clinical trials to patient care.⸻💡 Highlights• AI impact on drug discovery & clinical trials• GenAI & Agentic AI in pharma• Pharma + Big Tech partnerships (Microsoft, Google, Nvidia, AWS)• Telemedicine & remote monitoring• AI in hiring, healthcare jobs & the future workforce• Healthcare regulations for AI-designed drugs👉 If you want to understand the future of medicine, biotech innovation, and AI’s role in healthcare, this episode is a must-watch.⸻⏱️ Timestamps:00:00 – Introduction: AI & Healthcare Podcast 202505:34 – Client Relationship Management in Healthcare & Pharma07:07 – First Sales Pitch: Winning Clients with Confidence10:00 – Guidance for Young Professionals in AI & Life Sciences12:21 – Demos vs PPTs: Best Way to Impress Clients in Pharma/Healthcare16:00 – What is Life Science? Explained for Beginners20:16 – Drug Discovery Process: Challenges & Costs in Pharma21:37 – How AI is Transforming Drug Discovery Timelines23:56 – Research in LLMs: India’s Role in AI & Healthcare Models25:53 – Pharma + Big Tech (Microsoft, Google, NVIDIA) Partnerships27:52 – Regulatory Challenges in AI-Designed Drugs32:12 – GenAI & Agentic AI: Revolutionizing Healthcare34:53 – Market Access & Health Technology Assessment (HTA) in Pharma37:51 – How GenAI is Transforming Health Technology Assessment38:53 – AI for Humans: Enhancing Patient Care & Innovation40:44 – AI’s Impact on Hiring Talent in Healthcare & Pharma45:26 – Future of AI in Healthcare: What’s Next?47:11 – Telemedicine & Remote Monitoring: The New Healthcare Era⸻📩 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

🚀 In this episode, we explore the future of AI in healthcare, digital transformation, and the evolving role of technology in enterprises. From Indian IT consulting experiences to the rise of Agentic AI, this conversation dives into:How AI is transforming the healthcare industry 🏥- The shift from Waterfall to Agile models- AI tools boosting developer productivity- The role of Agentic AI in driving automation- Career tips for freshers entering AIIf you’re curious about the intersection of AI, healthcare, and enterprise tech, this podcast is a must-watch.⸻⏱️ Timestamps:00:00 – Introduction04:10 – Indian IT Consulting & Offshore Work09:16 – Engineering Components of Tech & Healthcare12:43 – Learning from Failure14:45 – Waterfall vs Agile in Healthcare IT18:27 – Twill: Digital Transformation Case25:06 – Why Interviews Are Getting Tougher26:25 – Healthcare Industry Trends27:40 – AI in Healthcare Today30:10 – Value Creation by AI in Healthcare31:52 – AI Tools for Developers & Healthcare Productivity33:31 – Agentic AI in Healthcare & Beyond39:14 – Career Advice for Freshers in AI41:22 – Prompt Engineering for Healthcare AI44:20 – Lifelong Learning in Tech & Healthcare AI46:53 – Conclusion & Key Takeaways⸻📩 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

In this episode of the AI Architect Podcast, we explore the real roadmap to becoming an AI engineer—from skills and tools, to industries, AI agents, hallucinations, and the impact of AI on jobs.Whether you’re starting your career in AI, exploring AI tools and industries, or curious about AI’s impact on jobs, this episode has insights for you.Speaker – Lakshman Jamili, Lead Gen AI Architect⸻⏱️ Timestamps:00:00 – Introduction & today’s topic overview04:25 – Funny corporate story from the tech world09:50 – Career journey: chasing the dream job in the USA14:17 – The step-by-step roadmap for AI engineers17:40 – Essential AI tools every engineer should master20:56 – Best domains & industries to apply AI27:53 – AI agents vs bots explained30:29 – The truth about AI hallucinations32:26 – Prompt engineering and its different types34:04 – What the future of AI looks like36:47 – AI’s impact on job security & the future of work39:45 – Conclusion & key takeaways#AI #ArtificialIntelligence #Podcast #AIEngineer #PromptEngineering #Jobs #FutureOfWork #Podcast #AITrends #MachineLearning #abtalks ⸻📩 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

In this episode, we dive deep into how AI is transforming the tech world — from coding tools like GitHub Copilot and Windsurf to how freshers can stand out in an AI-driven industry. 💻Discover insider insights on:🚀 Landing jobs at MNCs like Microsoft and Walmart🧩 How AI is reshaping project management and product building🇮🇳 Why India is becoming a global AI powerhouse🤖 The rise of Generative AI and Superintelligence💡 Practical tips on resume building, learning paths, and AI tools every developer must useWhether you’re a student, software engineer, or tech leader, this podcast helps you stay ahead in the AI + career growth era of 2025.#AIPodcast #Microsoft #AIIndia #AITools #FutureOfWork #GenAI #TechCareers #AIinDevelopment #WalmartTech #ArtificialIntelligence #AIFuture #MNCJobs #Superintelligence #airevolution2025 Speaker - Rahul Aggarwal, VP and General Manager⸻⏱️ Chapters:00:00 – Introduction04:05 – Top AI Tools for Code Development06:56 – Impact of AI Tools on Freshers11:41 – MVP: Minimum Viable Product Explained16:00 – The Modern Role of Project Managers20:13 – How to Get Into Top MNCs (Microsoft, Walmart, etc.)23:30 – Building a Powerful Resume for Tech Jobs24:53 – Learnings from Microsoft & Walmart27:11 – India in the Global AI Race32:00 – Shifting Focus: AI Opportunities Moving from US to India36:00 – Superintelligence & Generative AI40:07 – The Role of AI in Sales & Business Growth42:22 – Conclusion & Key Takeaways⸻📩 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

🎯 From IIT to AI Transformation — An Inspiring Journey 🚀In this candid conversation, we explore the life, lessons, and career evolution of an IIT graduate who went from early challenges to driving cutting-edge work in Generative AI.We cover personal experiences, deep tech insights, startup struggles, and advice for anyone navigating the AI and entrepreneurial world.📌 Watch if you want to learn about: • Cracking IIT & preparing smartly • How AI evolved into today’s LLMs • The reasoning capabilities of GPTs • Real-world GenAI use cases • The highs and lows of startup life⏱ Chapters:00:00 – Introduction03:14 – Early Days in Career and IIT Journey04:51 – How to Prepare for IIT08:00 – Initial Career Opportunities09:22 – Transformation in AI12:15 – How SLM and LLM Work15:00 – How Reasoning Works with GPTs17:00 – Best Use Case of GenAI22:00 – Domain-Specific GenAI Use Cases31:00 – Current Role32:00 – Startup Hustle35:00 – Try and Fail is Better Than Never Tried38:00 – Dark Side of Startups39:00 – Conclusion💡 Don’t forget to like, share, and subscribe for more inspiring tech journeys and AI insights!#IIT #GenerativeAI #Startups #ArtificialIntelligence #Entrepreneurship #LLM #GPT #TechTalks