Generative AI is rapidly becoming an essential skill for data professionals. Organizations are increasingly looking for engineers who can build AI-powered data applications, intelligent assistants, and enterprise AI agents that integrate with existing data platforms. This bootcamp takes a practical, project-based approach to AI Engineering. You'll learn to build real-world AI applications from scratch using LLMs, RAG, MCP, AI Agents, LangChain, LangGraph, OpenAI Agents SDK, and Databricks AI. Designed specifically for data professionals, the bootcamp focuses on hands-on projects including AI SQL Assistants, Enterprise RAG Systems, MCP Servers, Multi-Agent Applications, and AI Agents deployed on Databricks . Duration : 10-12 weeks Prerequisite : Python Basics

The Ultimate Data Engineering Bootcamp takes you from SQL fundamentals to building big data pipelines on Databricks, step by step, the way it's done in real companies. What you'll learn: • SQL – joins, CTEs, window functions and query optimization • Data Modelling & Warehousing – fact and dimension tables, star schema, SCDs • Python – core skills for building data pipelines • Apache Spark – architecture, DataFrames, Spark SQL and performance tuning with PySpark • Databricks – Delta Lake, medallion architecture and end-to-end pipelines Who it's for: data analysts, software engineers, students and working professionals who want to start or grow a career in data engineering. Why this bootcamp One complete path. No more piecing together random tutorials: everything is in the right order, from fundamentals to advanced. Industry focus. Concepts are taught the way they’re used in real companies. Interview ready. Questions and scenarios that come up in data engineering interviews.

Our Analytics Engineering Bootcamp designed to equip you with the essential tools and techniques needed to thrive in today's data-driven world. Whether you're a beginner or looking to expand your expertise, this bootcamp covers everything you need to succeed in the field of data analytics. What You’ll Learn: 1- SQL For Analytics (Zero to Hero) (5 weeks) 2- Data Modeling & Data Warehousing (2 weeks) 3- Snowflake (Analytics at Scale) (3-4 weeks) 4- dbt (Data Build Tool) (2-3 weeks) 5- Power BI (4-5 weeks)

Azure Databricks has emerged as the leading platform for modern data engineering, analytics, and AI. Organizations worldwide use Databricks to build scalable data pipelines, implement lakehouse architectures, govern data assets, and process large volumes of data efficiently. This Azure Databricks Masterclass is designed to help you understand how real world data platforms are built, not just individual features. Starting with core concepts, you will progress to advanced topics through hands on labs, practical exercises, and real world projects. Learn Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, Lakeflow Connect, Lakeflow Jobs, Delta Sharing, Data Governance, Asset Bundles, Cost Management, Monitoring, and production best practices. By the end of this course, you will be able to build end to end data pipelines, work confidently on Databricks projects, apply industry best practices, and crack Azure Databricks and Data Engineering interviews with confidence.

Apache Spark has become the backbone of modern data engineering. With the explosion of big data companies need engineers who can process massive datasets efficiently, build scalable pipelines, and work with modern lakehouse architectures. This in depth Apache Spark bootcamp is focused on PySpark API. Learn DataFrames, Spark SQL, distributed processing, performance tuning, and Delta Lake. Build real data engineering pipelines and gain confidence working with large-scale data.

Master modern data engineering and analytics with our hands-on Snowflake data engineer Bootcamp. This program is designed for analysts, engineers, and data enthusiasts who want to build scalable, production-grade data pipelines in the cloud. This bootcamp is fully practical. You’ll be working on live examples, real datasets, and industry-inspired case studies so you can confidently apply your skills at work or in interviews.

This Python Bootcamp is designed for Data Engineers, Data Analysts and Data Scientists who want to build strong foundations in Python programming, data analysis, and automation. You'll learn to work with files, APIs, SQL, and cloud services like AWS. The course includes assignments, hands-on projects and real-world capstone assignments, focusing on end-to-end data analysis, data pipelines and practical use cases.

Our SQL for data analytics course is the perfect choice for Data Analysts, Data Engineers, and Data Scientists who want to take their SQL skills to next level. This course will take you from basics of SQL syntax to advanced techniques for data manipulation, data analysis and complex problem solving. Kick start your career with mastering the most in demand data skill called SQL.

Are you ready to transform raw data into actionable insights and stunning visualizations? Join our Power BI Bootcamp and master the tools and techniques to become a data analysis pro! In this hands-on, interactive bootcamp, you’ll learn how to: Connect, clean, and transform data with Power Query Learn dimensional modeling to build efficient data model Use DAX (Data Analysis Expressions) for powerful calculations and analytics Build dynamic, interactive dashboards and reports Share and collaborate on insights with your team using Power BI service Whether you’re a beginner or looking to level up your skills, our expert-led sessions will equip you with the knowledge and confidence to harness the full potential of Power BI.

Our SQL for data analytics course is the perfect choice for Data Analysts, Data Engineers, and Data Scientists who want to take their SQL skills to next level. This course will take you from basics of SQL syntax to advanced techniques for data manipulation, data analysis and complex problem solving. Kick start your career with mastering the most in demand data skill called SQL.