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Kafka Dbt Databricks Ai (llm) Integration Six Projects Live
Published 1/2026
Created by Sreenivasulu Kandakuru, M Umer Tariq
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 48 Lectures ( 9h 3m ) | Size: 5.3 GB [/center]
Learn HOW to Integrate KAFKA DBT DATABRICKS and Artificial Intelligence(LLM) by creating SIX projects LIVE
What you'll learn
✓ Build Real-Time Data Pipelines with Kafka
✓ Transform Analytics Data Using DBT
✓ Process Streaming & Batch Data with Databricks
✓ Integrate AI with LLM-Powered Chatbots
Requirements
● Initial level of Python Programming experience with SQL required
Description
Used my experience and struggles while learning from online videos. There are lot of simple projects in the web whereas
in real work atmosphere you need depth and integration experience handling multiple DATA tools.
Hence thought of building upon projects with enhancements would the best way to CUT THE CLUTTER in becoming a TRUE Databricks Integration Expert. Someone who is not only expert in Databricks but knows how to integrate messages using kafka, build modular SQL using DB, ingest rest API and delivery AI capabilities (LLM) as well
SUMMARY
1. LIVE coding of End-to-End Data Engineering (Not Just Tools)
The core teaching is how data flows from source to insight, covering
• Event-driven ingestion with Apache Kafka
• Analytics transformations with dbt Labs
• Unified batch + streaming processing using Databricks
Learners understand why each component exists, not just how to click buttons.
This is engineering-first, not slideware.
2. AI-Augmented Data Engineering with LLMs
A major differentiator of this course is teaching
• How to build an LLM-powered chatbot connected to pipelines
• Using AI to explain transformations, detect data issues, and assist debugging
• Applying LLMs for self-service analytics and platform observability
AI is taught as a practical accelerator, not abstract theory
List of Projects which we will build as we talk through in the videos LIVE coding
PROJECT 1 Start with a simple project . Housing Prediction V1 uses scikitlearn.
PROJECT 2 Enhance PROJECT 1 . Housing Prediction V2 uses multiple ML models and around 40 features.
PROJECT 3 Enhance the project further by adding chatbot using LLM with structured queries
PROJECT 4 Enhance PROJECT 2 even further by making it enterprise ready. Here we add chatbot using LLM with unstructured queries (free text like whatsapp) using LLM and OpenAI
PROJECT 5 Here we focus on integration skills integrating Streaming Messages with Databricks
PROJECT 6 Here we focus on integration skills integrating Streaming Messages with DBT and Databricks with enhancements
Become DATABRICKS Integration expert (NOT only databricks tool) quickly by doing DATA INTEGRATION PROJECTS
Who this course is for
■ Data Engineers (Junior → Senior) Professionals who want hands-on, production-style experience building real-time and batch data pipelines using Apache Kafka, dbt Labs, and Databricks, with a strong focus on live coding and real-world patterns.
■ Analytics Engineers & BI Developers Practitioners responsible for transforming raw data into analytics-ready models, who want to: Move beyond static SQL Learn dbt best practices Understand how streaming data flows into analytics layers
■ Advanced Students & Career Switchers Learners who: Already know SQL and basic Python Want industry-grade, hands-on experience Are preparing for real-world data engineering roles
■ AI / ML Engineers & Data Scientists (Applied Focus) Learners interested in integrating LLM-powered chatbots with data platforms to: Query pipelines in natural language Explain transformations and data quality issues Build AI-assisted data engineering workflows
■ Not Ideal For Absolute beginners with no SQL or programming background Learners looking for theory-only or tool-specific certification cramming
Homepage
Kafka Dbt Databricks Ai (llm) Integration Six Projects Live
Published 1/2026
Created by Sreenivasulu Kandakuru, M Umer Tariq
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 48 Lectures ( 9h 3m ) | Size: 5.3 GB [/center]
Learn HOW to Integrate KAFKA DBT DATABRICKS and Artificial Intelligence(LLM) by creating SIX projects LIVE
What you'll learn
✓ Build Real-Time Data Pipelines with Kafka
✓ Transform Analytics Data Using DBT
✓ Process Streaming & Batch Data with Databricks
✓ Integrate AI with LLM-Powered Chatbots
Requirements
● Initial level of Python Programming experience with SQL required
Description
Used my experience and struggles while learning from online videos. There are lot of simple projects in the web whereas
in real work atmosphere you need depth and integration experience handling multiple DATA tools.
Hence thought of building upon projects with enhancements would the best way to CUT THE CLUTTER in becoming a TRUE Databricks Integration Expert. Someone who is not only expert in Databricks but knows how to integrate messages using kafka, build modular SQL using DB, ingest rest API and delivery AI capabilities (LLM) as well
SUMMARY
1. LIVE coding of End-to-End Data Engineering (Not Just Tools)
The core teaching is how data flows from source to insight, covering
• Event-driven ingestion with Apache Kafka
• Analytics transformations with dbt Labs
• Unified batch + streaming processing using Databricks
Learners understand why each component exists, not just how to click buttons.
This is engineering-first, not slideware.
2. AI-Augmented Data Engineering with LLMs
A major differentiator of this course is teaching
• How to build an LLM-powered chatbot connected to pipelines
• Using AI to explain transformations, detect data issues, and assist debugging
• Applying LLMs for self-service analytics and platform observability
AI is taught as a practical accelerator, not abstract theory
List of Projects which we will build as we talk through in the videos LIVE coding
PROJECT 1 Start with a simple project . Housing Prediction V1 uses scikitlearn.
PROJECT 2 Enhance PROJECT 1 . Housing Prediction V2 uses multiple ML models and around 40 features.
PROJECT 3 Enhance the project further by adding chatbot using LLM with structured queries
PROJECT 4 Enhance PROJECT 2 even further by making it enterprise ready. Here we add chatbot using LLM with unstructured queries (free text like whatsapp) using LLM and OpenAI
PROJECT 5 Here we focus on integration skills integrating Streaming Messages with Databricks
PROJECT 6 Here we focus on integration skills integrating Streaming Messages with DBT and Databricks with enhancements
Become DATABRICKS Integration expert (NOT only databricks tool) quickly by doing DATA INTEGRATION PROJECTS
Who this course is for
■ Data Engineers (Junior → Senior) Professionals who want hands-on, production-style experience building real-time and batch data pipelines using Apache Kafka, dbt Labs, and Databricks, with a strong focus on live coding and real-world patterns.
■ Analytics Engineers & BI Developers Practitioners responsible for transforming raw data into analytics-ready models, who want to: Move beyond static SQL Learn dbt best practices Understand how streaming data flows into analytics layers
■ Advanced Students & Career Switchers Learners who: Already know SQL and basic Python Want industry-grade, hands-on experience Are preparing for real-world data engineering roles
■ AI / ML Engineers & Data Scientists (Applied Focus) Learners interested in integrating LLM-powered chatbots with data platforms to: Query pipelines in natural language Explain transformations and data quality issues Build AI-assisted data engineering workflows
■ Not Ideal For Absolute beginners with no SQL or programming background Learners looking for theory-only or tool-specific certification cramming
Homepage
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