AI Training near me in Noida, India

In this course students will get in depth theoretical knowledge of Generative AI using large language models and it's practical implementation using frameworks like Langchain and Python. Course also includes how to deploy and monitor large language model applications.

### About Me – Industry & AI Trainer I am an **IT Professional, AI Trainer, Technology Consultant, and Educator** with extensive experience in both **industry and academic training**. I have been working with **Artificial Intelligence since 2021** and have been actively delivering AI-focused training and practical sessions. My training experience includes: * 🤖 **AI Training & Workshops at ICAI** * 🎓 **Training Sessions for Colleges & Universities** * 🏫 **AI & Technology Sessions for Schools** * 💻 **BCA/MCA & Computer Science Student Training** * 🏢 **Corporate & Organization-Level Training** * 🚀 **Practical Industry-Oriented Technology Training** I have taught many BCA students across different subjects, but my approach goes beyond traditional classroom teaching. Since I also work directly with organizations and real-world technology projects, I bring **practical industry experience into the classroom**. ### My Training Philosophy **Learn → Practice → Build → Apply** I believe students should not only understand concepts theoretically but also learn **where, why and how those concepts are used in the real world.** My AI sessions focus on making students and professionals understand: * Generative AI & AI Tools * AI for Business & Productivity * Prompt Engineering * AI Automation * AI Applications in Education * AI for Developers * AI-based Business Solutions * Practical AI Use Cases * Future Career Opportunities in AI ### What Makes My Training Different? **Academic Understanding + Industry Experience + AI Expertise** I bring real organizational problems, practical examples and current technology trends into my sessions so that learners can connect **classroom knowledge with industry requirements**. > **“I don't just teach technology. I help learners understand how technology is actually used to solve real-world problems.”**

Teaching Experience – Artificial Intelligence (AI) Fundamentals. I provide beginner-friendly instruction in Artificial Intelligence (AI), focusing on helping students understand AI concepts through simple explanations, real-world examples, and practical activities. I cover AI fundamentals, machine learning basics, generative AI, large language models (LLMs), AI-powered tools, prompt engineering, and the practical applications of AI in everyday life. My teaching approach emphasizes conceptual understanding, critical thinking, and hands-on exploration to help students develop a strong foundation in AI and understand how these technologies can be used effectively and responsibly.

I work as a Research Scientist at Accenture Labs. My research interests are in the field of Machine Learning, Data Science, Deep Learning (Computer Vision & Natural Language Processing). I have published reviewed papers in top conferences. I have strong programming skills in Python, C/C++, C#, Java and R. I have completed my M.Tech in Computer science and participated and won several hackathons. Note: I am interested in teaching computer programming to Class XI-XII and data science/Machine learning/deep learning to professional.

I am an experienced Data Scientist with more than 8 years of experience. I am currently working as a Lead Data Scientist in a Product Based company working on GENAI Products and Langchains. Proficient in multiple tools like Python, SQL, and R and Visualization tools like Power BI and Tableau. Generative AI tool like LLM and Langchain

I have extensive practical experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Generative AI, and Retrieval-Augmented Generation. My AI training approach combines conceptual understanding, hands-on implementation, and real-world industry applications, enabling learners to progress from foundational concepts to production-oriented AI systems. I teach learners how to understand data, select suitable algorithms, train models, evaluate performance, and improve results systematically. My sessions cover supervised and unsupervised learning, feature engineering, regression, classification, clustering, neural networks, model evaluation, hyperparameter tuning, and overfitting prevention using Python and widely used AI libraries. In Deep Learning, I explain neural networks, backpropagation, convolutional neural networks, recurrent networks, attention mechanisms, and transformers through visual explanations and practical coding exercises. Drawing on more than six years of professional experience in AI and Computer Vision, including Advanced Driver Assistance Systems, I incorporate industry-relevant examples involving image classification, object detection, segmentation, tracking, real-time inference, edge cases, and model validation. I also provide training in Natural Language Processing and Generative AI. Learners explore text preprocessing, embeddings, transformers, large language models, prompt engineering, structured outputs, tool calling, AI agents, and multimodal applications. For advanced learners, I cover Retrieval-Augmented Generation systems, including document ingestion, chunking, embeddings, vector databases, semantic search, reranking, grounding, citations, and RAG evaluation. My teaching style is practical, structured, and project-oriented. I break complex AI concepts into understandable steps and reinforce them through demonstrations, coding assignments, debugging exercises, and end-to-end projects. I emphasize not only how to implement a model but also why a particular approach should be selected and how its limitations should be assessed. I guide learners in handling real-world challenges such as poor-quality data, class imbalance, hallucinations, bias, data leakage, scalability, latency, model reliability, and responsible AI use. My objective is to help students independently design, build, evaluate, and deploy reliable AI applications while developing the problem-solving mindset required for professional AI roles.

I have experience teaching Artificial Intelligence and Machine Learning basics to school students and beginners. My focus is on making AI concepts simple, practical, and easy to understand without complex mathematics. I start by explaining what AI is and how it is used in real life, such as recommendation systems, chat applications, and smart technologies. Then I introduce students to basic Machine Learning concepts like how machines learn from data and make predictions. I also guide students in understanding the connection between Maths, programming, and AI. Students learn basic Python concepts and simple logic behind machine learning models in a beginner-friendly way. My teaching style is interactive and example-based. I use real-life scenarios and simple explanations so students can understand AI without confusion. I also provide small practice activities and doubt-solving support. My goal is to build curiosity and strong foundational knowledge in AI for students who are starting their journey in this field.