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10 yrs of Exp 
163 students 
Kaikondrahalli, Bangalore 
500 per hour Details verified of Abhishek Agrawal✕
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UrbanPro Certified Tutor
For Microsoft Azure Training
Class Location
Online class via Zoom
Student's home
Tutor's Home
Years of Experience in Microsoft Azure Training
10
Azure Certification offered
Azure Certified Data Engineer
Teaching Experience in detail in Microsoft Azure Training
I'm an Azure Data Engineer offering 10+ years of teaching experience and 6+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR. -All Classes with Lab sessions and Daily Practice. -End to End Project Implementation using Azure. -Trained people in becoming Microsoft certified cloud developer from scratch. -Get online recording of classes with lifetime access. -Helped experienced IT people to secure good job in Azure cloud technology. -Providing support in interview preparation and Resume Building. -Support for fresher's to secure good jobs as Business Analyst, Data Analyst, Data Engineer in 2-3 Month of Training -Helped people to move from SSIS, SSRS, SSAS to Azure Cloud Enviornment. -Providing Microsoft CertificationTraining and Support. -Practice is key to success. -I believe in Practical Implementation instead of theoretical knowledge.
UrbanPro Certified Tutor
For Azure Data Factory Training
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Azure Data Factory Training
10
Teaching Experience in detail in Azure Data Factory Training
I'm an Azure Data Engineer offering 10+ years of teaching experience and 6+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR. -All Classes with Lab sessions and Daily Practice. -End to End Project Implementation using Azure. -Trained people in becoming Microsoft certified cloud developer from scratch. -Get online recording of classes with lifetime access. -Helped experienced IT people to secure good job in Azure cloud technology. -Providing support in interview preparation and Resume Building. -Support for fresher's to secure good jobs as Business Analyst, Data Analyst, Data Engineer in 2-3 Month of Training -Helped people to move from SSIS, SSRS, SSAS to Azure Cloud Enviornment. -Providing Microsoft CertificationTraining and Support. -Practice is key to success. -I believe in Practical Implementation instead of theoretical knowledge.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Azure Databricks Courses
10
Teaching Experience in detail in Azure Databricks Courses
I'm an Azure Data Engineer offering 10+ years of teaching experience and 6+ years IT experience in data engineering, data warehousing, machine learning, and business intelligence realm. I have completed my engineering (B.Tech) from NIT RAIPUR. -All Classes with Lab sessions and Daily Practice. -End to End Project Implementation using Azure. -Trained people in becoming Microsoft certified cloud developer from scratch. -Get online recording of classes with lifetime access. -Helped experienced IT people to secure good job in Azure cloud technology. -Providing support in interview preparation and Resume Building. -Support for fresher's to secure good jobs as Business Analyst, Data Analyst, Data Engineer in 2-3 Month of Training -Helped people to move from SSIS, SSRS, SSAS to Azure Cloud Enviornment. -Providing Microsoft CertificationTraining and Support. -Practice is key to success. -I believe in Practical Implementation instead of theoretical knowledge.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Interview Skills Training
10
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Snowflake Training
10
Teaching Experience in detail in Snowflake Training
Snowflake with AI – Comprehensive Data Engineering Course Course Duration: 70+ Hours | 45 Days Mode: Online Interactive LIVE Classes via Zoom Includes: Live Training, Practical Labs, Sample Data Models, Case Studies, Interview Preparation & Resume Guidance This comprehensive Snowflake with AI course covers Snowflake Data Engineering, DBT, AWS, Azure Data Factory (ADF), Oracle SQL, and Snowflake Cortex AI. The course is designed to help learners build practical skills through hands-on exercises and real-time projects. Course Syllabus Oracle SQL – Complementary Recordings RDBMS fundamentals, DDL, DML, DQL & TCL Operators, NULL handling, ORDER BY, GROUP BY & HAVING Constraints and different types of Joins Set Operators, Rank & Dense Rank Views and Indexes Snowflake Snowflake Architecture, Editions & Cloud Platforms SnowSQL, Roles & Users, Privileges Virtual Warehouses, Resource Monitors & Cost Management Databases, Schemas, Tables & Snowflake Cache Time Travel, Fail-safe & Zero-Copy Cloning Internal & External Stages Data Loading/Unloading and AWS-to-Snowflake Integration Snowpipe & Continuous Data Loading Semi-structured Data: JSON & XML Streams & Tasks, CDC and SCD Data Sharing, Secure Objects & Reader Accounts UDFs, Procedures & Analytical Functions Query Performance Tuning, Clustering & Micro-partitions Materialized Views & Search Optimization Column-Level & Row-Level Masking Policies Date & Timestamp Handling DBT DBT Cloud Setup & Snowflake Integration GitHub & Version Control Models, Dependencies & Materializations Sources, Seeds & Freshness Generic & Singular Tests Snapshots & Incremental Strategies Macros, Hooks, Exposures & Documentation BI Dashboard Integration Azure Data Factory (ADF) Azure Blob Storage ADF Pipeline Configuration Loading Data from Azure Blob Storage to Snowflake Snowflake Cortex AI Cortex Analyst for Natural Language Analytics Document AI for PDF & document understanding LLM Functions for summarization and classification Cortex Agents for AI-powered workflow orchestration Practical & Career Support Real-time project using Snowflake, DBT & ADF Basic Unix Commands Interview Questions Resume Building Career Opportunities Snowflake Developer, Data Engineer, Cloud Data Engineer, Data Warehouse Developer, Analytics Engineer, DBT Developer, ETL Developer, Snowflake Consultant, Data Platform Engineer and Data Analytics Engineer.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Full Stack Agentic AI
10
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Full stack generative AI
10
Teaching Experience in detail in Full stack generative AI
Learn to build production-ready AI agents using AWS, LangChain, LangGraph, FastAPI, and Amazon Bedrock. Course Modules Agentic AI & Enterprise Patterns – Agents vs Workflows vs RAG, LangChain, LangGraph, and enterprise architecture. AWS Bedrock – Bedrock Runtime, Claude/Titan models, tool calling, reasoning, and Guardrails. FastAPI – Async APIs, streaming responses, request validation, and agent APIs. LangChain Fundamentals – PromptTemplate, Chains, Tools, Memory, and building a simple agent. LangGraph Fundamentals – Nodes, Edges, State, Conditional Routing, and single-agent workflows. LangChain + LangGraph – Agent integration, separation of concerns, failure isolation, and enterprise patterns. Agent Tool Design – Tool contracts, retries, timeouts, and idempotency. AWS Agent Tools – Lambda, Step Functions, SNS, DynamoDB, Rules Engine, and event-driven orchestration. Error Handling & Observability – Retries, fallbacks, compensation flows, CloudWatch metrics, logging, and tracing. RAG & Agent Memory – OpenSearch Vector Memory, embeddings, hybrid search, retrieval strategies, confidence scoring, and hallucination reduction. Security & Governance – IAM, API authentication, PII masking, audit logging, and compliance. Analytics – S3 and Snowflake for audit storage, agent metrics, cost, and latency dashboards. Hands-on Projects 🟢 Project 1: Intelligent Support Agent – Stateful retail support agent for order tracking, refunds, escalations, approvals, and notifications. 🔵 Project 2: Enterprise Multi-Agent Platform – Planner, Executor, Validator, and Human Approval agents with multi-agent messaging, long-term memory, human-in-the-loop workflows, and failure recovery. Final Deliverables ✔ End-to-end deployed AI agent system ✔ Enterprise GitHub repository ✔ Architecture diagrams ✔ Audit & observability dashboards ✔ Job-ready Agentic AI skills
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
Learn to build production-ready AI agents using AWS, LangChain, LangGraph, FastAPI, and Amazon Bedrock. Course Modules: Agentic AI & Enterprise Patterns: Agents vs. Workflows vs. RAG, LangChain, LangGraph, and enterprise architecture. AWS Bedrock: Bedrock Runtime, Claude/Titan models, tool calling, reasoning, and Guardrails. FastAPI: Async APIs, streaming responses, request validation, and agent APIs. LangChain Fundamentals: PromptTemplate, Chains, Tools, Memory, and building a simple agent. LangGraph Fundamentals: Nodes, Edges, State, Conditional Routing, and single-agent workflows. LangChain + LangGraph: Agent integration, separation of concerns, failure isolation, and enterprise patterns. Agent Tool Design: Tool contracts, retries, timeouts, and idempotency. AWS Agent Tools: Lambda, Step Functions, SNS, DynamoDB, Rules Engine, and event-driven orchestration. Error Handling & Observability: Retries, fallbacks, compensation flows, CloudWatch metrics, logging, and tracing. RAG & Agent Memory: OpenSearch Vector Memory, embeddings, hybrid search, retrieval strategies, confidence scoring, and hallucination reduction. Security & Governance: IAM, API authentication, PII masking, audit logging, and compliance. Analytics: S3 and Snowflake for audit storage, agent metrics, cost, and latency dashboards. Hands-on Projects: Project 1: Intelligent Support Agent: Stateful retail support agent for order tracking, refunds, escalations, approvals, and notifications. Project 2: Enterprise Multi-Agent Platform: Planner, Executor, Validator, and Human Approval agents with multi-agent messaging, long-term memory, human-in-the-loop workflows, and failure recovery. Final Deliverables: - End-to-end deployed AI agent system - Enterprise GitHub repository - Architecture diagrams - Audit & observability dashboards - Job-ready Agentic AI skills
4.8 out of 5 142 reviews
Nivya
Azure Data Engieering | Azure Data Factory | Azure Databricks
"This course is a valuable resource for anyone looking to enhance their data engineering skills with Azure. Highly recommended! "
Ramakrishna
"I went through the databricks training from Abhishek, trainer got very good knowledge and he has covered each and every topic in crisp and clear way of explanation. Thanks Abhishek. "
Yaswanth Mullapudi
"Abhishek teaches each and every topic with detailed explanation. He is technically sound and clarifies the doubts at the beginning of next class. I gained good knowledge through his materials and recordings. "
Joel George
"Abhishek’s class was excellent, with detailed explanations that made complex concepts easy to grasp. The hands-on projects were especially beneficial, providing a thorough understanding of Databricks. Overall, it was an outstanding session that greatly enhanced my knowledge. "
Chandu
"The Azure Data bricks training provided in-depth insights into both foundational and advanced concepts. The modules were well organised, covering everything from setting up a data bricks environment to implementing real-world data pipelines. Abhishek demonstrates deep knowledge and skill in explaining complex topics, making them understandable even for those new to Spark or cloud platforms. This training is highly recommended for data engineers who are looking to leverage data bricks on Azure effectively. "
Yash
"I had no knowledge of databricks, but thanks to Abhishek he thought as well the Azure fundamentals. He is helpful throughout and after completion of the course. He provides all the recordings and datasets needed for the course in the Google drive. "
Siva Chapalamadugu
Azure Data Engieering | Azure Data Factory | Azure Databricks
"Abhishek demonstrated extensive knowledge of data engineering principles and was able to answer all questions thoroughly. he was very responsive to questions and provided valuable feedback on assignments, fully satisfied with the course and I would recommend him for an Azure Data Engineering course. "
Soumya
Azure Data Engineering Training | ETL | Azure Data Factory | Azure Databricks
"I have taken Azure data engineering course from Abhishek. He has vast knowledge in Azure data engineering and his teaching methods are very clear and understandable. He has clear all the doubts . I would recommend each one of you, who wants to start their career or change the domain into Azure data engineer can take this course. "
Lakshmi Dev
"Abhishek is a good knowledgeable coach. I learnt a lot of new concepts from him. He explained every concept in a simplified manner. He cleared every small to big bounds of mine. If we attend and practice regularly then we get the true escence of this course and also we never forget these concepts. The course circulam , materials, assignment's ,interview question given by him were outstanding. Thank you Abhishek for your support through out the course. "
Lakshmi
Azure Data Engineering Training | ETL | Azure Data Factory | Azure Databricks
"I am happy and satisfied after finishing my course with abhishek. He explains the concepts in simpler manner so that we grasp them easily. He give us assignments which are thought provoking if we complete them we gain more command in concepts. In the class he always encourages everyone to interact and ask doubts. He clears the doubts of every student with lot of patience. Thank you so much abhishek for your support throughout the course. "
Manoj
Azure Data Engieering | Azure Data Factory | Azure Databricks
"Very good explanation and trainer was able to explain and understand very easily. Thanks for teaching. "
Tejaswi
"I'm delighted to share my experience of Abhishek's Azure Data Engineering course, which I recently completed. His approach to explain concepts clearly using hands-on projects and scenarios made the learning experience practical and engaging. He patiently answers all questions and provides excellent resources that helps to excel in the field and encourages to practice with various scenarios. His dedication to student success is evident in his teaching style and approach. Highly recommend! "
Reddeiah
Azure Data Engineering Training | ETL | Azure Data Factory | Azure Databricks
"Abhishek Sir providing very good training for ADF for beginners to Expert level. He is providing all real time scenarios with examples and he is giving interview questions also. Please take trading from him and get the opportunities. "
Srinivas
"I have joined Azure data Factory course. Good for staring learners. "
Udaykumar Ravipati
Azure Data Engieering | Azure Data Factory | Azure Databricks
"Overall good, I didn't attend last few classes. But got enough knowledge. Thank you so much for your support."
Have you attended any class with Abhishek?
Answered on 17/09/2019
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