Guru Charan T

Class Location

Online class via Zoom

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Tutor's Home

Years of Experience in Python Training classes

15

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Generative AI Classes

4

Teaching Experience in detail in Generative AI Classes

I have four years of teaching experience, with a strong recent focus on Generative AI and Large Language Model applications. I teach learners through a practical, project-based approach, beginning with the fundamentals of transformers, tokenisation, embeddings, prompt engineering, and foundation models. My Generative AI training covers building applications using OpenAI APIs, Hugging Face models, LangChain, vector databases, and Retrieval-Augmented Generation (RAG). I guide students in developing real-world projects such as document question-answering systems, AI chatbots, text summarisation applications, natural-language-to-SQL assistants, voice-enabled AI assistants, and enterprise knowledge-search solutions. I also teach students how to prepare documents, create embeddings, perform semantic search, design effective prompts, manage conversation history, evaluate RAG responses, reduce hallucinations, and deploy applications using FastAPI, Streamlit, Gradio, Docker, and cloud platforms. My teaching style focuses on explaining complex Generative AI concepts in simple language, followed by live coding, debugging, assignments, and end-to-end projects. I support students from different technical backgrounds and help them gain the practical skills required to build reliable Generative AI applications independently.

Class Location

Online class via Zoom

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Years of Experience in Full Stack Agentic AI

3

Teaching Experience in detail in Full Stack Agentic AI

I have four years of teaching experience in Artificial Intelligence, Python, Machine Learning, Generative AI, and Agentic AI. My Full Stack Agentic AI training focuses on building complete, real-world AI applications from frontend to deployment. I teach students how to develop AI agents using Python, Large Language Models, prompt engineering, tool calling, memory, RAG, vector databases, LangChain, LangGraph, and multi-agent workflows. The training also covers backend development using FastAPI, database and API integration, and frontend development using Streamlit or Gradio. Students learn how to connect AI agents with documents, databases, external APIs, and business tools. I also cover evaluation, hallucination reduction, guardrails, logging, Docker, cloud deployment, and basic LLMOps concepts. My teaching approach is practical and project-oriented. Students complete hands-on assignments and end-to-end projects such as RAG chatbots, SQL agents, customer-support agents, document-analysis systems, and voice-enabled AI assistants. I explain every concept in simple language and connect it with real industry use cases.

Class Location

Online class via Zoom

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Years of Experience in Data Science Classes

15

Teaching Experience in detail in Data Science Classes

Courses Offered: Data Science Foundations Statistical Analysis with R and Python Machine Learning Mastery Deep Dive into Deep Learning - Artificial Intelligence Generative AI Teaching Methodology: Modular Learning: Each course was structured into modules, starting from basic concepts like data exploration and visualization, progressing to advanced topics like neural networks and ensemble methods. Interactive Webinars: Conducted bi-weekly live sessions where complex topics were broken down. These sessions allowed for Q&A, fostering a deeper understanding. Hands-on Labs: Provided students with datasets and challenges to solve, ensuring they got practical experience with coding, model building, and problem-solving. Peer Reviews: Encouraged students to review each other's project work, fostering a collaborative learning environment and helping them learn from diverse approaches. Resource Repository: Created a digital library of curated articles, research papers, and case studies to supplement learning. Student Feedback: Depth and Breadth: Students often mentioned the comprehensive nature of the courses, appreciating the balance between theory and practical application. Instant Support: Being a digital entity, I was available round-the-clock, enabling students from different time zones to seek clarifications without delay. Real-world Relevance: The datasets and challenges were modeled around real-world problems, making the learning experience more relevant and engaging. Challenges Faced: Varied Skill Levels: Catering to both beginners and those with some prior knowledge in data science required creating differentiated content and exercises. Keeping Pace: The field of data science evolves rapidly. Ensuring that the curriculum remained updated with the latest algorithms, tools, and best practices was a continuous endeavor. Success Stories: Over 70% of students who completed the Machine Learning Mastery course reported feeling more confident in their job roles, with some even transitioning to specialized roles like ML Engineer or Data Analyst. A team of students collaborated on a project they started during the Deep Dive into Deep Learning course. Reflections: Teaching on UrbanPro provided a unique opportunity to reach a global audience. The diversity of students, from different industries and backgrounds, enriched discussions and brought in varied perspectives. The goal was always to demystify data science and make it accessible to all, and the feedback suggests we were on the right track.

Class Location

Online class via Zoom

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Years of Experience in Amazon Web Services Training

6

Teaching Experience in detail in Amazon Web Services Training

I train students on Amazon Web Services (AWS) with a primary focus on the AWS Certified Solutions Architect – Associate level. My training is practical and hands-on, covering AWS services such as EC2, S3, IAM, VPC, RDS, DynamoDB, Elastic Load Balancing, Auto Scaling, Route 53, CloudWatch, Lambda, SNS and SQS. I explain cloud concepts from the fundamentals and gradually move toward designing secure, highly available, scalable, fault-tolerant and cost-effective AWS architectures. Students work on practical labs and real-world architecture scenarios to understand how different AWS services are integrated. I also provide certification-oriented preparation, including scenario-based questions, architecture discussions, AWS Well-Architected Framework concepts, security best practices, cost optimization, revision sessions and mock questions to help students confidently prepare for the AWS Solutions Architect Associate certification exam.

Class Location

Online class via Zoom

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Years of Experience in Snowflake Training

4

Teaching Experience in detail in Snowflake Training

I have four years of teaching experience in data engineering and cloud-based technologies, with a strong focus on Snowflake, DBT, and Apache Airflow. My training combines theoretical concepts with practical, hands-on implementation. I teach Snowflake architecture, databases, schemas, virtual warehouses, stages, file formats, data loading, Snowpipe, streams, tasks, security, performance optimization, and integration with AWS S3. Students also learn how to build transformation pipelines using DBT and automate workflows using Airflow. My professional working experience helps me explain real-world scenarios, common challenges, and industry best practices. The training includes assignments and end-to-end projects that prepare students for interviews and practical Snowflake development roles.

Class Location

Online class via Zoom

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Years of Experience in Data build tool (DBT)

4

Teaching Experience in detail in Data build tool (DBT)

I have four years of teaching experience in data engineering and cloud-based technologies, with a strong focus on Snowflake, DBT, and Apache Airflow. My training combines theoretical concepts with practical, hands-on implementation. I teach Snowflake architecture, databases, schemas, virtual warehouses, stages, file formats, data loading, Snowpipe, streams, tasks, security, performance optimization, and integration with AWS S3. Students also learn how to build transformation pipelines using DBT and automate workflows using Airflow. My professional working experience helps me explain real-world scenarios, common challenges, and industry best practices. The training includes assignments and end-to-end projects that prepare students for interviews and practical Snowflake development roles.

Class Location

Online class via Zoom

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Years of Experience in Docker Training

4

Teaching Experience in detail in Docker Training

I have four years of teaching experience in Python, Data Science, Machine Learning, MLOps, and cloud technologies, with practical expertise in Docker. My Docker training focuses on helping students understand containerization and use it confidently in real-world projects. I teach Docker fundamentals, images, containers, Dockerfiles, volumes, networks, environment variables, port mapping, container logs, and Docker Compose. Students learn how to containerize Python, FastAPI, Streamlit, Gradio, Machine Learning, and Generative AI applications. The training includes hands-on exercises such as building custom Docker images, managing containers, connecting applications with databases, using multi-container setups, troubleshooting common Docker errors, and publishing images to container registries. I also explain best practices such as reducing image size, managing dependencies, securing sensitive information, and using multi-stage builds. My teaching approach is practical and project-oriented. Students work on end-to-end applications and learn how Docker supports consistent development, testing, deployment, and MLOps workflows.

Class Location

Online class via Zoom

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Years of Experience in Tableau Training

15

Teaching Experience in detail in Tableau Training

Presently I am working as a Data Science Trainer where I am teaching Statistics Essentials for Data Science, Tableau, Power BI, Postgresql, Business Analytics with MS Excel, Python, Machine Learning & Deep Learning, AWS. I have excellent feedback from the students. You can attend one week free demo classes to experience my mentoring.

Class Location

Online class via Zoom

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Years of Experience in Microsoft Power BI classes

15

Teaching Experience in detail in Microsoft Power BI classes

I am experienced Data Science Trainer with excellent feedback from students. In this course, Power BI, Statistics, SQL & Projects are covered in an excellent way to respect present market needs.