Dilip kumar

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Business Analysis Training Classes

12

Teaching Experience in detail in Business Analysis Training Classes

I am a professional Business Analyst with rich experience of more than 13+ years in various domains. I am associating with different training institutions as a part time trainer and also training on my own (online or at student's location) I have been training aspirants and interested learners who want to build career in Business Analysis. My style of training includes concepts explained from practical and real time industry orientation. Also I do help students with their resume vetting and mock interviews and complete Interview preparation to crack Business Analyst interviews to get a job in their dream companies. I have been training students residing in US/Canada and other locations in the world. Feel free to reach me out for your specific course offering.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Agile Training

4

Teaching Experience in detail in Agile Training

I have hands on experience in Agile Scrum methodology. I

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

10

Teaching Experience in detail in Data Science Classes

Hi dear aspirant, I am Dilip Kumar - Product Manager and AI Specialist with 20+ years of IT experience, including 10+ years as a Product Owner/Manager driving enterprise-scale digital transformation, AI adoption, and data-driven product strategy. I bring a unique mix of industry expertise and beginner-friendly teaching to help freshers, career-switchers, and IT professionals confidently step into Python, AI, and Data Science roles globally. My training style is structured yet highly practical—every session blends simple explanations, real project scenarios, and guided coding exercises to make learning accessible to even complete beginners. Learners don’t just “watch demos”; they code, test, and deploy real solutions under my guidance. I understand the challenges of breaking into tech from a non-programming background and have designed this course to remove fear, build confidence, and ensure job readiness. ✨ What Makes My Training Unique: PyCodeX Notebook System: A proprietary coding workbook with self-check tests and ready solutions- students practice independently, learn faster, and don’t get stuck. Portfolio-Driven Approach: Learners graduate with multiple GitHub projects and deployment experience to showcase real-world skills. Mentorship Mindset: I personally guide students on project work, career positioning, and how to speak like an experienced professional in interviews. Industry-Relevant Content: All lessons are linked to real-world scenarios from banking, fintech, and AI product teams, giving learners business context and confidence. Beginner to Pro Pathway: Designed for absolute beginners, with a step-by-step transition to advanced AI and data science concepts. Career-Focused Bootcamp: 5–6 weeks, 30–36 hours, intense and hands-on, optimized for learners targeting 2-5 years equivalent experience roles. I have mentored cross-functional teams, designed global AI adoption strategies, and coached professionals to succeed in tech careers. My mission is to create a safe, supportive, and motivating learning space where students feel guided every step of the way and walk out job-ready, confident, and skilled.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Generative AI Classes

10

Teaching Experience in detail in Generative AI Classes

Let me ask you this. Do any of these questions resonate with you? How do I use Generative AI confidently in real work, not just try tools? Am I learning the right GenAI concepts, or just things that will become irrelevant quickly? How can I speak about Generative AI with clarity and confidence in professional situations? My teaching approach is designed around these exact questions. I usually work with professionals who are already capable in their roles and want to bring the same clarity and confidence into how they use Generative AI. My approach is shaped by years of working across real technology and business problems, along with long-term experience mentoring and training professionals. In recent years, I’ve been closely involved with Generative AI through hands-on application in real projects and problem-solving contexts. Rather than starting with tools or ready-made prompts, sessions focus on building the right way of thinking about Generative AI. We explore how large language models behave in practice, how prompting and reasoning patterns influence outcomes, how approaches like retrieval-augmented generation and AI agents are used, and where the real limitations and risks lie. This helps learners move away from trial-and-error and toward more intentional, confident use. Sessions balance discussion with concrete examples and hands-on exploration so ideas translate into action without feeling overwhelming. They are conversational and practical, usually conducted in a one-on-one or small group format, and adapted to the learner’s background, goals, and pace. Many professionals find this especially useful when they want to explain their Generative AI choices clearly in interviews, meetings, or client conversations. Along with the sessions, learners have access to curated supporting materials such as distilled reference notes, reusable prompt patterns for common scenarios, select real-world examples discussed during sessions, and concise takeaways to reinforce clarity. Where relevant, I also share guidance for interview preparation to help articulate Generative AI understanding with confidence. If you’re looking to move from experimenting with Generative AI to using it thoughtfully and confidently in real work, you’re welcome to reach out for a short, no-pressure conversation to see if this approach fits your needs.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in AI Training

10

Teaching Experience in detail in AI Training

Let me ask you this. Do any of these questions resonate with you? How do I really understand what AI can and cannot do in real work or business scenarios? How do I decide when AI is the right solution and when traditional approaches are more appropriate? How can I confidently explain AI concepts, decisions, and limitations in professional discussions or interviews? My AI training is designed to bring clarity to these exact questions. I usually work with professionals who want a practical, grounded understanding of Artificial Intelligence without getting lost in buzzwords or excessive theory. My approach is shaped by years of working across real technology and business problems, combined with long-term experience mentoring and training professionals from different roles and backgrounds. Rather than jumping straight into algorithms or tools, sessions focus on building a strong mental model of AI. We explore how different types of AI systems work, the difference between rule-based systems, machine learning, and modern AI approaches, how data influences outcomes, and how AI decisions are evaluated and trusted in real-world contexts. This helps learners understand not just how AI works, but when and why it should be used. Sessions balance conceptual clarity with practical examples so ideas connect naturally to real work situations. They are conversational and structured, usually conducted in a one-on-one or small group format, and adapted to the learner’s background, goals, and pace. Many professionals find this especially useful when participating in AI-related discussions, contributing to solution design, or preparing for interviews involving AI concepts. Along with the sessions, learners have access to curated supporting materials such as simplified reference notes, real-world examples discussed during sessions, and concise summaries to reinforce understanding. Where relevant, I also share guidance on how to explain AI concepts clearly and responsibly in professional and interview settings. If you’re looking to build a solid, practical understanding of AI that supports better decision-making and confident communication, you’re welcome to reach out for a short, no-pressure conversation to see if this approach fits your needs.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Analysis Classes

10

Teaching Experience in detail in Data Analysis Classes

Describe your teaching experience (Data Analysis Classes) Let me ask you this. Do any of these questions resonate with you? How do I approach data analysis with clarity instead of just running tools or scripts? How do I know what questions to ask of data before jumping into charts or models? How can I explain my analysis and insights confidently in interviews or professional discussions? My data analysis training is designed around answering these exact questions. I usually work with professionals and aspiring analysts who want to develop a strong analytical mindset, not just learn tools. My approach is shaped by years of working on real business and technology problems, combined with extensive experience mentoring and training professionals across roles. The focus is on understanding data, reasoning through problems, and making sense of results in a way that supports better decisions. Rather than starting with syntax or dashboards, sessions begin with analytical thinking. We work through how to frame a problem, explore data using EDA, identify patterns and anomalies, and interpret results meaningfully. Python is used as a practical tool for analysis, but the emphasis is always on reasoning, interpretation, and clarity rather than memorizing code. Sessions balance conceptual understanding with hands-on exploration, so learning feels grounded and applicable to real situations. They are conversational and structured, usually conducted in a one-on-one or small group format, and adapted to the learner’s background, goals, and pace. Many learners find this approach especially helpful for building confidence in interviews, case discussions, and day-to-day analytical work. Along with the sessions, learners have access to curated supporting materials such as concise reference notes, reusable analysis patterns, worked examples discussed during sessions, and clear takeaways to reinforce understanding. Where relevant, I also share guidance on how to present analysis clearly and answer interview questions with confidence. If you’re looking to move beyond surface-level analysis and build a solid, practical foundation in data analysis, you’re welcome to reach out for a short, no-pressure conversation to see if this approach fits your needs.