# Rishav Kumar — full site content > Rishav Kumar is a Generative AI and agentic AI educator in India and Principal Analyst at Walmart Global Tech. He trains professionals, entrepreneurs and enterprise teams in LLMs, RAG and AI agents. Website: https://rishav-kumar.com/ · Email: rishavkjha@gmail.com · LinkedIn: https://www.linkedin.com/in/rishavkumar1/ · Book a call: https://calendly.com/rishavkjha/30min Last updated: 2026-10-13 --- # Rishav Kumar — Generative AI & Agentic AI Trainer URL: https://rishav-kumar.com/ Rishav Kumar is a Generative AI and agentic AI educator and Walmart Principal Analyst, training teams and founders in LLMs, RAG and AI agents. Generative AI · Agentic AI · LLMs · RAG ## Rishav Kumar Generative AI & Agentic AI Educator I teach LLMs, RAG and AI agents to professionals, founders and enterprise teams, as a practitioner, not a full-time trainer. With 13+ years in data & AI, I'm a Principal Analyst at Walmart Global Tech, Head Instructor at Skillancy, Instructor at NextLeap and Visiting Faculty at Scaler. Generative AIAgentic AILLMsRAG LangChainPrompt EngineeringAI EvaluationPythonSQL Turning AI hype into skills → products → outcomes. Book a free call → LinkedIn ★★★★★5/5 rating from 3,200+ participants 🇮🇳 India-basedTraining delivered worldwide 13+years in data, analytics & AI 3,200+learners trained, with a ★★★★★ 5/5 participant rating 300+working professionals built their first AI agent in one 60-minute session $35M+annual savings delivered through analytics at Walmart Where learners from my programs work TargetOraclePayPalIBMZoomInfoEXLR SystemsMicrosoftGoogleAmazonDeloitteTCSAdobe TargetOraclePayPalIBMZoomInfoEXLR SystemsMicrosoftGoogleAmazonDeloitteTCSAdobe What I do ### I help people and companies learn, build and adopt AI. Three ways to work with me, all rooted in Generative AI, LLMs, RAG and agentic AI. I #### Learn AI Live, project-first cohorts and masterclasses for professionals and career switchers through Skillancy, NextLeap and Scaler. Teaching & platforms → II #### AI for Founders Hands-on workshops that put AI agents to work in your business, automating sales, support, research and operations. For entrepreneurs → III #### Enterprise AI Training GenAI strategy for leaders and LLM, RAG & agent bootcamps for teams, from pilot to production. For large businesses → Focus areas ### Generative AI and agents, from first prompt to production. Generative AIWhere GenAI creates business value, and where it doesn't LLMs & promptingPrompt engineering, model choice, structured outputs RAGGrounding LLMs in your own documents and data Agentic AITool-using agents, multi-agent workflows, automation Evaluation & deploymentTesting, guardrails and shipping AI products Featured · Scaler Masterclass #### The AI Strategy Behind Retail Orgs' Personalised Shopping Experience A 90-minute masterclass for Scaler's Online PGP in Business and AI on how large retailers use data and AI to personalise shopping at scale, covering the business problems, the models and the metrics that show it's working. More on my teaching → Projects ### Real AI products my learners build. In my Generative AI program, every learner builds and deploys three end-to-end AI products, the same patterns I teach enterprise teams. 01 #### RetailGenie AI Intelligent Retail Assistant A conversational product-recommendation assistant that uses LLMs and retrieval-augmented generation to help shoppers find exactly what they need. RAGConversational AILangChain See how it's built → 02 #### InfoNavigator AI Smart Search & Navigation System A semantic search system built on vector databases and embeddings, retrieving information by meaning instead of keywords. RAGSemantic searchEmbeddings See how it's built → 03 #### DocuMind AI Intelligent Document Understanding Engine A document parsing and understanding pipeline built with LangChain, with responsible-AI practices built in throughout. LangChainDocument AIEvaluation See how it's built → Learner stories ### Careers changed, in their own words. Learners have moved into roles at IBM, Target, Oracle, PayPal, EXL and ZoomInfo, and several NextLeap fellows I mentored were named Top Fellows. JK Jayant KhannaSenior Data Analyst · Target Offer from PayPal “Their approach went beyond interview preparation — teaching me how to think critically.” Credits the program's SQL and case-based problem solving, plus help with offer negotiation, for the offer. Read on skillancy.in ↗ AS Ankita SinghBusiness Analyst · EXL Microbiology → Analytics Moved into data analytics at EXL “even as someone from a non-technical microbiology background,” supported by patient, structured mentoring and help with interviews. Read on skillancy.in ↗ SP Sanghamitra PhukanAssociate Consultant · Oracle “One of the most impactful learning experiences of my analytics journey.” Highlights the hands-on SQL and Python teaching, case studies, guesstimates and the emphasis on thinking independently. Read on skillancy.in ↗ TR Tuhin RahaNextLeap · Business Analyst Fellowship “To our mentor, Rishav Kumar, thank you for your time and insights.” Completed the fellowship with a graduation project and moved into the next chapter of their career in business analysis. View on LinkedIn ↗ SK SkillancyLive AI agent workshop “A huge thank you to Rishav Kumar.” 300+ working professionals each built a working AI agent in a single 60-minute live session. View on LinkedIn ↗ PS Pranshu SinghNextLeap · Data Analyst Fellowship ★ Top Fellow Analysed 5.8M+ flight records to help an airline improve on-time arrivals, and thanked the mentors “for their constant support and guidance.” View on LinkedIn ↗ All learner stories → FAQ ### Frequently asked questions #### Who is Rishav Kumar? Rishav Kumar is a Generative AI and agentic AI educator and a Principal Analyst at Walmart Global Tech in India, with 13+ years of experience in data and AI across Walmart, Deloitte, Fidelity Investments and HCL Technologies. He is Head Instructor at Skillancy, an Instructor and mentor at NextLeap, and Visiting Faculty at Scaler. #### What does Rishav Kumar teach? Rishav Kumar teaches Generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), agentic AI and AI agents, and how to evaluate and deploy AI products, along with the data foundations behind them such as SQL and Python. #### Who are Rishav Kumar's AI courses and workshops for? His programs are for working professionals and career switchers, for entrepreneurs and founders who want AI agents doing real work in their business, and for teams and leadership at large businesses adopting Generative AI. #### Does Rishav Kumar offer corporate Generative AI training? Yes. He designs custom programs for enterprises, including GenAI strategy sessions for leaders, hands-on LLM, RAG and AI agent bootcamps for teams, and guidance on taking AI from pilot to production with guardrails and governance. #### Does Rishav Kumar run AI workshops for entrepreneurs and founders? Yes. He runs practical workshops that help founders and small-business owners use AI agents to automate sales, support, research and operations, get reliable output from LLM tools, and use RAG to query their own documents and data. #### What results have Rishav Kumar's learners achieved? Participants rate his training 5/5, based on feedback from 3,200+ participants. Skillancy learners have moved into roles at IBM, Target, Oracle, PayPal, EXL, ZoomInfo and R Systems, several of the NextLeap fellows he mentored were named Top Fellows, and in one live session 300+ working professionals built their first AI agent in 60 minutes. #### How can I book Rishav Kumar for a guest lecture, masterclass or training? Email rishavkjha@gmail.com . He has delivered masterclasses for Scaler's Online PGP in Business and AI, including “The AI Strategy Behind Retail Orgs' Personalised Shopping Experience”. Work with me ### Let's bring AI into your team, business or career. Corporate GenAI training, founder workshops, guest lectures and masterclasses on LLMs, RAG and AI agents. Book a free call → Other ways to reach me --- # About Rishav Kumar — AI Educator & Walmart Analyst URL: https://rishav-kumar.com/about/ Rishav Kumar has 13+ years in data and AI at Walmart Global Tech, Deloitte and Fidelity, and teaches Generative AI at Skillancy, NextLeap and Scaler. About ## A practitioner who teaches what he ships. 13+ years turning ambiguous business problems into measurable outcomes at Walmart, Deloitte and Fidelity, and now teaching Generative AI, LLMs, RAG and agentic AI. In shortRishav Kumar is a Principal Analyst at Walmart Global Tech in India and a Generative AI and agentic AI educator with 13+ years in data and AI. He is Head Instructor at Skillancy, an Instructor at NextLeap and Visiting Faculty at Scaler, and holds an MBA from Goa Institute of Management. By Rishav Kumar · Generative AI & agentic AI educator · Updated 13 October 2026 ### Rishav Kumar Rishav Kumar is a Generative AI and agentic AI educator and a Principal Analyst at Walmart Global Tech in India. He has spent more than 13 years in data and AI across Walmart Global Tech, Deloitte Consulting, Fidelity Investments, Photon Infotech and HCL Technologies. At Walmart he leads and mentors a team of analysts supporting Walmart's transportation network, and works with senior leadership on strategy. His team's work has delivered $15M and $20M in annual savings and an 80% reduction in delivery delays. Alongside his role at Walmart, he is Head Instructor at Skillancy, an Instructor and mentor at NextLeap, and Visiting Faculty at Scaler. He trains working professionals, entrepreneurs and enterprise teams in Generative AI, large language models, retrieval-augmented generation and AI agents. See where he teaches and the AI projects his learners build . He holds an MBA from Goa Institute of Management and a B.Tech in Information Technology from Dayananda Sagar College of Engineering. 13+years in data & AI $20Mannual infra savings from efficiency KPIs $15Mannual savings from billing deep dives 80%cut in delivery delays Toolkit Generative AIAgentic AILLMsRAGAI Agents Prompt EngineeringLangChainAI Evaluation PythonSQLBigQueryTableauStakeholder ManagementTeam Leadership Career journey ### Professional experience May 2020 — Present #### Principal Analyst Walmart Global Tech · India - Lead and mentor a team of analysts supporting Walmart's transportation network, owning projects end to end, from scoping to the executive presentation. - Scaled self-serve Tableau dashboards for carrier selection, reducing delivery delays by 80%. - Advanced-SQL deep dives into vendor billing uncovered revenue leakage worth $15M a year. - Designed VM utilisation and efficiency KPIs that enabled $20M a year in infrastructure savings. - Partner with senior leadership on transportation strategy across distribution centres. Teaching — Present #### Head Instructor · Instructor · Visiting Faculty Skillancy · NextLeap · Scaler - Head Instructor at Skillancy for live cohorts in Generative AI, agentic AI and data. - Instructor and mentor at NextLeap for the Data Analyst and Business Analyst fellowships; several of the fellows I mentored were named Top Fellows. - Visiting Faculty at Scaler, delivering masterclasses for the Online PGP in Business and AI. Oct 2017 — May 2020 #### Analytics Consultant Deloitte Consulting · Client: a major US airline - Built a Tableau NPS analytics tool across fleets, flights and regions, improving NPS by 10%. - Turned survey data into satisfaction-trend and opportunity-index metrics for in-flight and lounge experience. Jan 2016 — Oct 2017 #### Senior Analyst Fidelity Investments - Built a call-routing insights dashboard saving $1M a year. - Built SQL-based keyword segmentation that cut issue-resolution time by 90%. - Proposed the Customer Intent Model and Last Agent Routing to re-engineer how relationship managers were assigned. May 2015 — Jan 2016 #### Analyst Photon Infotech - Credit-card sales analytics and client reporting in SAS. Jun 2011 — May 2013 #### Software Engineer HCL Technologies - SQL development for P&L across FX cash, money markets, commodities and derivatives. - VBA models that cut people-project management time by 85%. Education ### Education 2013 – 2015 #### MBA Goa Institute of Management 2007 – 2011 #### B.Tech, Information Technology Dayananda Sagar College of Engineering FAQ ### About Rishav Kumar: FAQ #### What is Rishav Kumar's current role? Rishav Kumar is a Principal Analyst at Walmart Global Tech in India, where he leads and mentors a team of analysts supporting Walmart's transportation network. He is also Head Instructor at Skillancy, an Instructor and mentor at NextLeap, and Visiting Faculty at Scaler. #### How many years of experience does Rishav Kumar have? Rishav Kumar has more than 13 years of experience in data, analytics and AI: Walmart Global Tech (2020–present), Deloitte Consulting (2017–2020), Fidelity Investments (2016–2017), Photon Infotech (2015–2016) and HCL Technologies (2011–2013). #### What results has Rishav Kumar delivered at Walmart? At Walmart Global Tech his work has delivered $15M a year in savings from vendor-billing analysis, $20M a year in infrastructure savings from efficiency KPIs, and an 80% reduction in delivery delays through self-serve carrier-selection dashboards. #### Where did Rishav Kumar study? Rishav Kumar holds an MBA from Goa Institute of Management (2013–2015) and a B.Tech in Information Technology from Dayananda Sagar College of Engineering (2007–2011). Work with me ### Let's bring AI into your team, business or career. Corporate GenAI training, founder workshops, guest lectures and masterclasses on LLMs, RAG and AI agents. Book a free call → Other ways to reach me --- # Generative AI Teaching: Skillancy, NextLeap, Scaler URL: https://rishav-kumar.com/teaching/ Rishav Kumar teaches Generative AI, LLMs, RAG and agentic AI as Head Instructor at Skillancy, Instructor at NextLeap and Visiting Faculty at Scaler. Teaching ## Learn Generative AI from someone who uses it every day. Practitioner-led, project-first learning in LLMs, RAG and agentic AI, built around real problems, not textbook exercises. In shortRishav Kumar teaches Generative AI, LLMs, prompt engineering, RAG and agentic AI as Head Instructor at Skillancy, Instructor at NextLeap and Visiting Faculty at Scaler. Sessions are live and hands-on, and learners build working AI applications rather than just watching demos. By Rishav Kumar · Generative AI & agentic AI educator · Updated 13 October 2026 What I teach ### Focus areas Generative AIWhere GenAI creates business value, and where it doesn't LLMs & promptingPrompt engineering, model choice, structured outputs RAGGrounding LLMs in your own documents and data Agentic AITool-using agents, multi-agent workflows, automation Evaluation & deploymentTesting, guardrails and shipping AI products Where I teach ### Platforms & roles Head Instructor #### Skillancy Live, mentor-led cohorts where learners build real AI products: RAG apps, LLM workflows and agentic automations they can show in interviews. View programs at skillancy.in → Instructor & Mentor #### NextLeap Teaching and mentoring fellows through hands-on analytics, from first SQL query to a graduation project that's ready for a portfolio. - Data Analyst Fellowship - Business Analyst Fellowship Visiting Faculty #### Scaler Masterclasses for Scaler's Online PGP in Business and AI, showing how AI strategy plays out inside one of the world's largest retailers. - Masterclass: AI strategy & personalisation Featured · Scaler Masterclass #### The AI Strategy Behind Retail Orgs' Personalised Shopping Experience A 90-minute session on how large retailers use data and AI to personalise shopping at scale, covering the business problems, the models and the metrics that show it's working. AI strategyPersonalisationRetail AIBusiness & AI Live workshop · Skillancy #### 300+ working professionals built their first AI agent in 60 minutes A hands-on session for people who had held off on learning AI because it seemed too technical. Everyone left with a working agent of their own. I also run free webinars on how AI skills turn into better roles and faster promotions. Agentic AIHands-onNo-code to low-code How I teach ### Built to make you job-ready, not just certified. 01 #### Build, don't watch Every session ends in something that works: a prompt pipeline, a RAG app or an agent you can show. 02 #### Real problems Examples come from the kind of business problems I work on at Walmart scale, not toy datasets. 03 #### Think, then tool Frame the decision first, then pick the model, the retrieval and the agent design that serve it. Glossary ### Generative AI terms, explained simply - **Generative AI**: AI systems that create new text, images, code or audio based on patterns learned from large amounts of data. - **Large language model (LLM)**: A neural network trained on large amounts of text to understand and generate language. LLMs power tools such as ChatGPT, Claude and Gemini. - **Prompt engineering**: Designing instructions, examples and output formats so an LLM produces reliable, useful results. - **Embeddings**: Numeric vectors that represent the meaning of text, so similar ideas sit close together. They are the basis of semantic search. - **Vector database**: A database that stores embeddings and quickly finds the items most similar in meaning to a query. - **Retrieval-augmented generation (RAG)**: A technique that retrieves relevant passages from your own data and gives them to an LLM, so answers are grounded in real sources and can cite them. - **Fine-tuning**: Training a model further on examples to change its behaviour, style or task performance. LoRA and PEFT do this by updating only a small set of parameters. - **AI agent**: An LLM-powered system that plans steps and uses tools such as search, APIs or databases to complete a task, rather than only answering a question. - **Agentic AI**: Designing AI systems around agents that reason, act and iterate towards a goal with limited human input. - **Multi-agent orchestration**: Coordinating several specialised AI agents that divide a task and hand work to each other. - **LLM evaluation**: Measuring the quality of AI output, such as accuracy, groundedness and hallucination rate, using test sets and techniques like LLM-as-judge. - **Guardrails**: Checks around an AI system that block unsafe inputs and outputs, including prompt-injection defences, content moderation and privacy filters. FAQ ### Teaching FAQ #### Where does Rishav Kumar teach? Rishav Kumar is Head Instructor at Skillancy, where he teaches live cohorts in Generative AI, agentic AI and data; an Instructor and mentor at NextLeap for the Data Analyst and Business Analyst fellowships; and Visiting Faculty at Scaler, where he delivers masterclasses for the Online PGP in Business and AI. #### Which Generative AI topics does Rishav Kumar teach? He teaches LLM fundamentals and prompt engineering, retrieval-augmented generation (RAG) with embeddings and vector databases, agentic AI including tool use and multi-agent workflows, evaluation and guardrails, and deploying AI applications. #### Do I need coding experience to learn Generative AI with Rishav Kumar? It depends on the format. Founder workshops and leadership briefings need no coding. Hands-on bootcamps and cohort programs assume basic Python, which is refreshed at the start. #### Are Rishav Kumar's sessions live? Yes. His cohorts, workshops and masterclasses are taught live, with hands-on building in every session. Work with me ### Want me to teach your cohort or community? Guest lectures, masterclasses and multi-week programs on Generative AI, LLMs, RAG and AI agents. Book a free call → Other ways to reach me --- # AI Agent Workshops for Founders | Rishav Kumar URL: https://rishav-kumar.com/ai-for-founders/ Hands-on Generative AI and AI agent workshops for founders and small-business owners: automate sales, support and operations, and use RAG on your own data. For entrepreneurs & founders ## Put AI agents to work in your business. Hands-on workshops for founders and small-business owners who want Generative AI and AI agents doing real work, without hiring an AI team first. In shortRishav Kumar runs hands-on AI workshops for entrepreneurs, available as a 2-hour AI Quick-Start, a half-day Founder Workshop and a 2-day AI Agent Build Sprint. Founders leave with working AI agents for sales, support, research or operations. No coding is needed, and pricing is shared on request. By Rishav Kumar · Generative AI & agentic AI educator · Updated 13 October 2026 Book a free call → See packages ★★★★★5/5 rating from 3,200+ participants What you'll get ### Practical AI you can use on Monday. 01 #### AI agents for everyday work Automate sales follow-ups, customer support replies, research and operations with agents that use your tools. 02 #### GenAI tools & prompting Get reliable, on-brand output from ChatGPT, Claude and other LLMs with prompts your team can reuse. 03 #### Chat with your business data Use RAG to ask questions of your own documents, policies, reports and customer data. Workshop outline ### From first prompt to a working agent. The default arc. I adapt it to your industry, tools and goals. - Where AI pays off in your business: mapping tasks worth automating and the ones to leave alone. - Prompting that works: frameworks for writing, analysis, sales and support. - Your own AI assistant: custom GPTs or Claude projects trained on your playbooks. - RAG on your documents: answers grounded in your own data, not the internet. - Building your first AI agent: connecting tools so the agent can act, not just chat. - Guardrails, cost & next steps: data privacy, checking outputs and a 30-day rollout plan. Packages ### Pick the format that fits your stage. Every package is tailored to your business and tools. Share a few details and I'll send a quote. 2 hours #### AI Quick-Start For a founder or small leadership team getting started. - Map the tasks in your business worth automating - Set up ChatGPT / Claude with prompts your team can reuse - Leave with a 30-day AI action list Online · live, screen-shared Pricing on request Request a quote → Most requested Half-day #### Founder Workshop For founders and their core team who want a working AI agent. - Everything in Quick-Start - Build your first AI agent on a real business task - RAG on your own documents and policies - Guardrails, data privacy and checking outputs Online or in person · up to 15 people Pricing on request Request a quote → 2 days #### AI Agent Build Sprint For founders ready to automate several workflows. - Build 2–3 agents across sales, support, research or operations - Connect agents to the tools you already use - Rollout plan, costs and ownership after the sprint In person or online · hands-on build days Pricing on request Request a quote → Running a founder community, incubator or accelerator? Group sessions are available. Book a free call to plan one. FAQ ### Founder workshop FAQ #### Do I need a technical background to join? No. The founder workshops are designed for non-technical entrepreneurs and small-business owners. We work with no-code and low-code AI tools first, and go deeper only where it helps your business. #### What will I have at the end of the workshop? At least one working AI agent or automation running on your own business task, a set of tested prompts for your team, and a short plan for which processes to automate next. #### Can the workshop be run for a founder community or incubator? Yes. Sessions can be run for a single company, a founder cohort, an incubator or an accelerator, online or in person. Email rishavkjha@gmail.com with the group size and goals. Work with me ### Ready to put AI agents to work? Tell me about your business and I'll suggest a workshop format that fits. Book a free call → Other ways to reach me --- # Corporate Generative AI Training | Rishav Kumar URL: https://rishav-kumar.com/corporate-ai-training/ Corporate training in Generative AI, LLMs, RAG and AI agents: leadership briefings, 2-day team bootcamps and multi-week programs. Pricing on request. For enterprises & large businesses ## GenAI and agentic AI training for teams and leaders. Custom programs for engineering, analytics and business teams and their leadership, drawing on 13+ years of data and AI work at Walmart, Deloitte and Fidelity. In shortRishav Kumar delivers corporate Generative AI training in three formats: a 3-hour Leadership Briefing on GenAI strategy, a 2-day hands-on Team Bootcamp on LLMs, RAG and AI agents, and a 4–8 week Multi-week Program where teams ship AI products on their own use cases. Programs run online or on site, with pricing on request. By Rishav Kumar · Generative AI & agentic AI educator · Updated 13 October 2026 Book a free call → See packages ★★★★★5/5 rating from 3,200+ participants Programs ### Three tracks, tailored to your organisation. Leadership #### GenAI strategy for leaders Where Generative AI creates value in your business, and how to prioritise and measure it. - Use-case selection and ROI - Build vs buy vs partner - Risk, governance and responsible AI Teams #### LLM, RAG & agents bootcamp Hands-on training that takes teams from prompting to production-style RAG and agents. - Prompt engineering and structured outputs - RAG: chunking, embeddings, retrieval - Tool-using and multi-agent workflows - Evaluation and guardrails Scale #### From pilot to production Taking AI beyond demos with the standards that keep it reliable as it scales. - Quality, testing and monitoring - Cost and latency trade-offs - Rollout across teams and functions Sample bootcamp ### LLMs, RAG & AI agents, hands-on. A typical arc for a technical team. Every module ends with something built. - LLM fundamentals: tokens, context windows, embeddings and model choice. - Prompt engineering: patterns for reliable, structured, testable outputs. - RAG architecture: chunking, embeddings, vector search and re-ranking. - Building AI agents: tool use, planning and multi-agent orchestration. - Evaluation & guardrails: measuring quality, catching failures, staying safe. - Deployment & cost: shipping, monitoring and keeping spend under control. Why me ### Enterprise experience, not just slides. 01 #### Walmart-scale context I lead analytics at Walmart Global Tech, where my team's work has delivered $35M+ in annual savings. 02 #### Proven teacher Head Instructor at Skillancy, Instructor at NextLeap and Visiting Faculty at Scaler, with learners now at Target, Oracle and EXL. 03 #### Business first An MBA and a Deloitte consulting background mean every technique is tied to a decision and a metric. Packages ### Engagement formats Each program is customised to your teams, stack and use cases. Share your team size and goals and I'll send a proposal and quote. 3 hours #### Leadership Briefing For CXOs, business heads and senior managers. - Where Generative AI and agents create value in your business - Use-case selection, ROI and build-vs-buy - Risk, governance and responsible AI - A prioritised use-case shortlist On-site or online · up to 30 leaders Pricing on request Request a quote → Most requested 2 days #### Team Bootcamp For engineering, data and analytics teams. - Prompt engineering and structured outputs - RAG: embeddings, vector search, retrieval quality - Tool-using and multi-agent workflows - Evaluation, guardrails and deployment basics On-site or online · hands-on labs Pricing on request Request a quote → 4–8 weeks #### Multi-week Program For teams building production AI capability. - The full LLM → RAG → agents → evaluation curriculum - Teams ship working products on your own use cases - Capstone reviews, code walkthroughs and office hours - Certificates of completion Weekly live sessions · project-based Pricing on request Request a quote → Need something different, such as a lunch-and-learn, an offsite keynote or a series for several departments? Book a free call and we'll shape it together. FAQ ### Corporate training FAQ #### What formats do corporate programs come in? Leadership briefings of a few hours, one- to three-day hands-on bootcamps, and multi-week programs with project work. Sessions can run online or on site. #### Which tools and platforms do you cover? Programs are tool-agnostic and adapted to your stack, covering hosted LLMs, open models, LangChain-style orchestration, vector databases for RAG, and agent frameworks, alongside Python and SQL where needed. #### Can the training use our own data and use cases? Yes. The most effective programs are built around your real use cases. Teams work on sanitised versions of your own documents and workflows so they leave with prototypes, not just notes. #### How do we start? Email rishavkjha@gmail.com with your team size, roles and goals. I'll propose a format and outline within a few days. Work with me ### Planning GenAI training for your organisation? Share your team size, roles and goals, and I'll propose a format and outline. Book a free call → Other ways to reach me --- # Learner Stories & Results | Rishav Kumar URL: https://rishav-kumar.com/learners/ Stories from learners taught and mentored by Rishav Kumar at Skillancy and NextLeap, now at Target, Oracle, PayPal, EXL, ZoomInfo and more. Learner stories ## Careers changed, in their own words. Learners have moved into roles at IBM, Target, Oracle, PayPal, EXL, ZoomInfo and R Systems, many from non-technical backgrounds. Several NextLeap fellows I mentored were named Top Fellows. ★★★★★5/5 rating from 3,200+ participants In shortParticipants rate Rishav Kumar 5/5, based on feedback from 3,200+ participants. Learners he taught at Skillancy have moved into analytics and AI roles at Target, Oracle, PayPal, EXL, ZoomInfo and R Systems, and several fellows he mentored at NextLeap were named Top Fellows. By Rishav Kumar · Generative AI & agentic AI educator · Updated 13 October 2026 Where learners from my programs work TargetOraclePayPalIBMZoomInfoEXLR SystemsMicrosoftGoogleAmazonDeloitteTCSAdobe TargetOraclePayPalIBMZoomInfoEXLR SystemsMicrosoftGoogleAmazonDeloitteTCSAdobe ### Skillancy Career outcomes · from skillancy.in JK Jayant KhannaSenior Data Analyst · Target Offer from PayPal “Their approach went beyond interview preparation — teaching me how to think critically.” Credits the program's SQL and case-based problem solving, plus help with offer negotiation, for the offer. Read on skillancy.in ↗ AS Ankita SinghBusiness Analyst · EXL Microbiology → Analytics Moved into data analytics at EXL “even as someone from a non-technical microbiology background,” supported by patient, structured mentoring and help with interviews. Read on skillancy.in ↗ SP Sanghamitra PhukanAssociate Consultant · Oracle “One of the most impactful learning experiences of my analytics journey.” Highlights the hands-on SQL and Python teaching, case studies, guesstimates and the emphasis on thinking independently. Read on skillancy.in ↗ UP Umashankar PatiBI Consultant · R Systems First analytics role Landed a role at R Systems and moved “into the analytics field without prior industry experience,” after rigorous SQL training and case-based learning. Read on skillancy.in ↗ MA Mohammad AmmarData Analyst · ZoomInfo “Skillancy's Data Analytics program was a turning point in my career.” Hands-on training in real-world problem solving and clear data visualisation led to a role at ZoomInfo. Read on skillancy.in ↗ PP Pooja PattanayakSenior Consultant · Oracle “Simplified complex concepts, built strong analytical confidence.” Finished the Data Analytics program, covering SQL, Tableau and core analytics, in three months. Read on skillancy.in ↗ ### NextLeap & LinkedIn Every card links to the original post TR Tuhin RahaNextLeap · Business Analyst Fellowship “To our mentor, Rishav Kumar, thank you for your time and insights.” Completed the fellowship with a graduation project and moved into the next chapter of their career in business analysis. View on LinkedIn ↗ SK SkillancyLive AI agent workshop “A huge thank you to Rishav Kumar.” 300+ working professionals each built a working AI agent in a single 60-minute live session. View on LinkedIn ↗ PS Pranshu SinghNextLeap · Data Analyst Fellowship ★ Top Fellow Analysed 5.8M+ flight records to help an airline improve on-time arrivals, and thanked the mentors “for their constant support and guidance.” View on LinkedIn ↗ MR Dr. Monish RavichandranNextLeap · Data Analyst Fellowship ★ Top Fellow Analysed 120,000+ LinkedIn job postings with Python and Tableau to help recruiters hire more efficiently. View on LinkedIn ↗ BC Bubai ChowdhuryNextLeap · Data Analyst Fellowship ★ Top Fellow Built a FreshMart analysis covering RFM segmentation, hypothesis testing and time-series trends, with thanks “for your expert guidance and valuable feedback.” View on LinkedIn ↗ VC Vignesh ChNextLeap · Data Analyst Fellowship ★ Top Fellow Built skills in Excel, SQL, Tableau and Python, and thanked the mentors “for their invaluable support and guidance.” View on LinkedIn ↗ JP Jateen PatilNextLeap · Business Analytics Fellowship “Grateful to the mentors who didn't just teach frameworks.” Learned to stop asking what the data shows and start asking which decision it enables. View on LinkedIn ↗ RS Rohit SarkarNextLeap Shared a six-step approach to problem solving with SQL and Excel, from mapping the system to tying recommendations to business KPIs, and credited the mentors for shaping it. View on LinkedIn ↗ + More learner storiesLinkedIn More posts from learners about their fellowships and projects. View on LinkedIn ↗ + More learner storiesLinkedIn More posts from learners about their fellowships and projects. View on LinkedIn ↗ FAQ ### Learner results FAQ #### How do participants rate Rishav Kumar's training? Participants rate Rishav Kumar's training 5/5, based on feedback from 3,200+ participants across his cohorts, workshops and masterclasses. #### Where do learners from Rishav Kumar's programs work? Learners from programs he teaches have moved into roles at companies including Target, Oracle, PayPal, EXL, ZoomInfo and R Systems. #### What is a NextLeap Top Fellow? Top Fellow is a recognition NextLeap gives to standout fellows in a cohort. Several fellows Rishav Kumar mentored received it, including Pranshu Singh, Dr. Monish Ravichandran, Bubai Chowdhury and Vignesh Ch. #### Can people without a technical background move into analytics or AI? Yes. Learners such as Ankita Singh, who came from microbiology, and Umashankar Pati, who had no prior industry experience, moved into analytics roles at EXL and R Systems after structured, hands-on training. Work with me ### Want results like these for your team? Cohorts, workshops and corporate programs on Generative AI, LLMs, RAG and AI agents. Book a free call → Other ways to reach me --- # Contact Rishav Kumar — Book AI Training URL: https://rishav-kumar.com/contact/ Contact Rishav Kumar for corporate Generative AI training, AI agent workshops for founders, guest lectures and masterclasses on LLMs, RAG and agentic AI. Contact ## Let's talk about AI for your team, business or career. For corporate GenAI training, founder workshops, guest lectures, masterclasses or mentoring, email me with a few lines about your goals. In shortThe fastest way to work with Rishav Kumar is to book a free 30-minute call on Calendly. You can also email rishavkjha@gmail.com or connect on LinkedIn. He is based in India and trains teams online worldwide. By Rishav Kumar · Generative AI & agentic AI educator · Updated 13 October 2026 FastestBook a free 30-minute call Emailrishavkjha@gmail.com LinkedInlinkedin.com/in/rishavkumar1 EnterprisesCorporate GenAI training FoundersAI agent workshop InstitutionsGuest lecture or masterclass Helpful to include - Who it's for: team, founders, students or leadership, and roughly how many people. - Goal: what you want people to be able to do afterwards. - Format: online or in person, preferred dates and duration. - Stack: any AI tools or platforms you already use. FAQ ### Contact FAQ #### How do I book Rishav Kumar for training, a workshop or a talk? Book a free 30-minute call through Calendly, or email rishavkjha@gmail.com with your audience, group size, goals and preferred format. #### Is the first call free? Yes. The first 30-minute call is free and is used to understand your goals and suggest the right format. #### Does Rishav Kumar train online or in person? Both. He is based in India and delivers training online worldwide, and in person where possible. --- # Generative AI Projects: RAG, Search & Document AI URL: https://rishav-kumar.com/projects/ Three Generative AI products learners build with Rishav Kumar: a RAG retail assistant, a semantic search system and a document AI engine. Projects ## Three real AI products, built end to end. In the Generative AI program I teach at Skillancy, every learner builds, evaluates and deploys these three products, from LLM fundamentals to a live portfolio. The same patterns power my corporate bootcamps. In shortIn the Generative AI program Rishav Kumar teaches, learners build and deploy three AI products: RetailGenie AI (a RAG-based retail assistant), InfoNavigator AI (semantic search with embeddings and a vector database) and DocuMind AI (document understanding with LangChain and responsible-AI checks). By Rishav Kumar · Generative AI & agentic AI educator · Updated 13 October 2026 Build these with your team → Overview ### The three products 01 #### RetailGenie AI Intelligent Retail Assistant A conversational product-recommendation assistant that uses LLMs and retrieval-augmented generation to help shoppers find exactly what they need. RAGConversational AILangChain See how it's built → 02 #### InfoNavigator AI Smart Search & Navigation System A semantic search system built on vector databases and embeddings, retrieving information by meaning instead of keywords. RAGSemantic searchEmbeddings See how it's built → 03 #### DocuMind AI Intelligent Document Understanding Engine A document parsing and understanding pipeline built with LangChain, with responsible-AI practices built in throughout. LangChainDocument AIEvaluation See how it's built → 01 RAG · Conversational AI · LangChain · Fine-tuning ### RetailGenie AI Intelligent Retail Assistant A conversational product-recommendation assistant that uses LLMs and retrieval-augmented generation to help shoppers find exactly what they need. What learners build - Prompt engineering: zero-shot, few-shot, chain-of-thought and structured outputs - LangChain chains and memory for multi-turn conversations - Agent logic with the ReAct pattern and tool-calling - RAG grounding on a product catalogue using a vector database - An image-generation feature and a fine-tuned component (LoRA/PEFT) Outcome Deployed as a live, shareable app (FastAPI / Streamlit) and presented as part of the learner's AI portfolio. 02 RAG · Semantic search · Embeddings · Vector DB ### InfoNavigator AI Smart Search & Navigation System A semantic search system built on vector databases and embeddings, retrieving information by meaning instead of keywords. What learners build - Retrieval and search logic designed for a new domain - Embeddings and vector search for meaning-based results - Relevance tuning to improve result quality - Agentic tool-calling where it adds value Outcome Deployed as a live, shareable app (FastAPI / Streamlit) and presented as part of the learner's AI portfolio. 03 LangChain · Document AI · Evaluation · Responsible AI ### DocuMind AI Intelligent Document Understanding Engine A document parsing and understanding pipeline built with LangChain, with responsible-AI practices built in throughout. What learners build - Document parsing and understanding pipeline in LangChain - Hallucination detection and retrieval-quality checks - LLM-as-judge evaluation - Defences against prompt injection, plus content moderation and data privacy Outcome Deployed as a live, shareable app (FastAPI / Streamlit) and presented as part of the learner's AI portfolio. Case study ### 300+ professionals, one hour, a working AI agent each. ChallengeWorking professionals had put off learning AI because it seemed too technical. ApproachA live, hands-on Skillancy session: one guided build, step by step, with no setup barriers. ResultEvery one of the 300+ attendees left with a working AI agent they built themselves in 60 minutes. Toolkit ### Tools learners use PythonOpenAILangChainRAGHugging FacePyTorchTensorFlowScikit-learnGoogle ColabFastAPIStreamlit FAQ ### Projects FAQ #### What AI projects do learners build with Rishav Kumar? Learners build and deploy three end-to-end Generative AI products: RetailGenie AI, a RAG-based conversational retail assistant; InfoNavigator AI, a semantic search and navigation system; and DocuMind AI, a document understanding engine built with LangChain. #### How is RAG used in these projects? Retrieval-augmented generation (RAG) fetches relevant information from a knowledge source and passes it to the LLM so answers are grounded in real data. RetailGenie AI uses RAG over a product catalogue to recommend products, and InfoNavigator AI uses embeddings and a vector database to retrieve information by meaning. #### Which tools are used to build the projects? Python, OpenAI, LangChain, vector databases for RAG, Hugging Face, PyTorch, TensorFlow, Scikit-learn and Google Colab, with apps deployed using FastAPI or Streamlit. #### Can a company's team build similar AI projects with Rishav Kumar? Yes. The Team Bootcamp and Multi-week Program for enterprises use the same build-evaluate-deploy approach, applied to the company's own use cases and data. Work with me ### Want your team to build products like these? Hands-on LLM, RAG and agent bootcamps where your team builds on your own use cases. Book a free call → Other ways to reach me --- # Generative AI, RAG & AI Agents Blog | Rishav Kumar URL: https://rishav-kumar.com/blog/ Guides on Generative AI, prompt engineering, RAG vs fine-tuning, AI agents and data careers from the Skillancy blog, curated by Head Instructor Rishav Kumar. Blog ## Field notes on AI, agents and analytics. Guides on Generative AI, LLMs, RAG and AI agents from the Skillancy blog, where I'm Head Instructor. Each article opens on skillancy.in. In shortThis page collects 13 guides from the Skillancy blog on Generative AI, prompt engineering, RAG vs fine-tuning, AI agents and data careers, curated by Rishav Kumar, Head Instructor at Skillancy. By Rishav Kumar · Generative AI & agentic AI educator · Updated 13 October 2026 ### Generative AI & agents LLMs, RAG, prompting and AI agents Generative AI #### AI Agents & Multi-Agent Orchestration: The Complete 2026 Guide How single agents and teams of agents plan, use tools and run whole workflows, and how to design them safely. 1 Jun 2026 · 8 min read · skillancy.in Read article ↗ Generative AI #### Agentic AI for Data Analytics: How AI Agents Are Transforming SQL, BI & Reporting Where AI agents help analysts today: text-to-SQL, anomaly investigation, automated reporting and data-quality checks, with guardrails. 19 Sep 2026 · 4 min read · skillancy.in Read article ↗ Generative AI #### RAG vs Fine-Tuning: What Should You Use for Generative AI Applications? A side-by-side guide to choosing between retrieval and fine-tuning based on freshness, behaviour, citations, cost and upkeep. 18 Sep 2026 · 4 min read · skillancy.in Read article ↗ Generative AI #### Generative AI Roadmap 2026: From LLM Fundamentals to RAG and AI Agents A step-by-step learning path from LLM basics and prompting through embeddings, RAG, tools, agents, evaluation and deployment. 17 Sep 2026 · 4 min read · skillancy.in Read article ↗ Generative AI #### Prompt Engineering for LLMs: The Complete 2026 Guide for Data & AI Professionals Structured, testable prompting techniques that turn inconsistent LLM output into something you can ship. 1 Jun 2026 · 8 min read · skillancy.in Read article ↗ Generative AI #### How to Become an AI Engineer in India in 2026: Skills, Tools, Projects & Roadmap The skills, tools and portfolio projects that matter for AI engineering roles in India, from Python to deployed agents. 16 Sep 2026 · 4 min read · skillancy.in Read article ↗ ### Data science & analytics Roadmaps, skills and careers Data Analytics #### Data Analytics with AI in 2026: How AI Is Changing the Data Analyst Role How text-to-SQL, automated reporting, feedback analysis and agentic workflows are reshaping day-to-day analytics work. 13 Sep 2026 · 4 min read · skillancy.in Read article ↗ Data Science #### Data Science Roadmap 2026: Python, Statistics, Machine Learning, GenAI & Projects A practical sequence for data science learners, ending with GenAI, deployment and portfolio projects. 15 Sep 2026 · 4 min read · skillancy.in Read article ↗ Data Science #### How to Become a Data Scientist in India in 2026: Complete Roadmap What to learn, build and prepare for interviews to land a data scientist role in India. 14 Sep 2026 · 4 min read · skillancy.in Read article ↗ Data Analytics #### Data Analyst Skills in 2026: What You Actually Need to Learn to Get Hired The analyst skills hiring managers look for now, from Excel, SQL and BI to Python and AI-assisted analysis. 12 Sep 2026 · 4 min read · skillancy.in Read article ↗ Data Analytics #### How to Choose a Data Analytics Course in India for Working Professionals in 2026 A checklist for comparing courses on curriculum, projects, mentorship, schedule and career support. 11 Sep 2026 · 5 min read · skillancy.in Read article ↗ Data Analytics #### How to Become a Data Analyst in India in 2026: Skills, Roadmap, Projects & Jobs A roadmap from first spreadsheet to job offer, covering tools, projects and interview preparation. 10 Sep 2026 · 5 min read · skillancy.in Read article ↗ Data Analytics #### Data Analytics: The Future Skill Every Professional Needs Why organisations in every industry keep hiring for analytics, and what that means for your career. 10 Oct 2025 · 3 min read · skillancy.in Read article ↗ FAQ ### Blog FAQ #### Who writes these articles? The articles are published by the Skillancy Editorial Team on skillancy.in and curated here by Rishav Kumar, Head Instructor at Skillancy. #### What is the difference between RAG and fine-tuning? RAG retrieves up-to-date information from your own documents at query time and gives it to the LLM, which makes it best for changing knowledge and answers with citations. Fine-tuning trains the model further on examples to change its behaviour, style or format. Many production systems combine both. #### Where should a beginner start learning Generative AI? Start with how LLMs work and prompt engineering, then learn embeddings and RAG, and then move to AI agents, evaluation and deployment. The Generative AI roadmap and prompt engineering guides on this page follow that order. Work with me ### Prefer to learn this live? Workshops, bootcamps and masterclasses on Generative AI, LLMs, RAG and AI agents. Book a free call → Other ways to reach me