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178 Hands-On Tasks for the VCAP VCF Automation Exam (3V0-21.25)
Exam 3V0-21.25 publishes six objectives, with forty-three sub-objectives underneath them and thirty-five in one section. A workbook of 178 tasks, each linked to its steps and a diagram.
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195 Hands-On Tasks for the Advanced VCF Networking Exam (3V0-25.25)
Exam 3V0-25.25 tests design, build and troubleshooting together, all of it against NSX. A workbook of 195 tasks across all three, each linked to its steps and a diagram.
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146 Design Exercises for the VCAP-VCF Architect Exam (3V0-12.26)
Nothing hands-on is tested in exam 3V0-12.26. All twenty objectives are architecture and design, so this workbook is 146 written design exercises rather than lab tasks.
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How to become an AI engineer: an end-to-end guide with free resources
Six stages, from Python and maths to building, fine-tuning and running LLM applications in production, with the free courses, playlists and books for each stage and a project to build at every step.
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262 Hands-On Lab Tasks for the VCAP-VCF Administrator Exam (3V0-11.26)
Every objective in exam 3V0-11.26 is an administration objective. A workbook of 262 hands-on tasks in build order, each one linked to its steps, prerequisites and a diagram.
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170 Hands-On Lab Tasks for the VCAP-VKS Exam 3V0-24.25 (VCAP-VKS Exam Series, Part 35)
Thirty-four parts of this series went through the 3V0-24.25 blueprint one objective at a time. This part is the other half: a workbook of 170 hands-on tasks in build order, from enabling a Supervisor to recovering a stalled upgrade. Each task carries the exam objective it covers, and the whole set is downloadable as a…
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VMware Explore 2026 recap: what Broadcom announced in Las Vegas
What Broadcom announced at VMware Explore 2026 Las Vegas, what is GA today, what is roadmap, and what VCF customers in India should do next.
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How I am turning my one laptop into a full AI and Kubernetes lab, layer by layer
My blueprint for rebuilding my AI applications (DrJhaGPT Pro, the Neevalay bots) as a production-style platform on one 20 GB laptop: 36 layers across cluster, delivery, security, observability, AI serving, backup and cost. For every layer, what I run today, the free open-source pick for the lab, and a drop-down of the enterprise products (VKS,…
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I run a 70B model for free and own no GPU. So where does the enterprise AI stack come in?
One AI application followed end to end from a solution architect’s chair: how a RAG tool runs without a GPU, what VRAM and quantization mean, what a GPU would and would not change, why token limits disappear, where Kubernetes fits, and the sizing worksheet, BOM and three-year cost an architect has to produce. Every term…
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One RAG Chatbot, Five Tech Stacks: Open Source vs Azure, AWS, IBM & VMware
A RAG chatbot is one pipeline. This maps every stage – ingestion, embeddings, vector DB, retrieval, LLM, hosting, guardrails – onto open source, Azure, AWS, IBM watsonx and VMware on-prem, so you can see who does what.
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halfvec: Cut Your pgvector Index in Half – Same Answers
How pgvector’s 16-bit halfvec type shrinks a vector index by about 50% with negligible impact on retrieval quality or speed – with a real 9,000-page RAG example.
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Leveraging Generative AI for Stock Research: A Use Case for the Non-Technical Investor
A case study in grounded GenAI: an AI research assistant for stocks and mutual funds that explains the numbers in plain English but never invents them.
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About the Author

Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.






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