| 1 - What is ChatGPT Overview of Generative AI.mp4 | 33.3 MB | ||
| 10 - Hands On Practice Part 3.mp4 | 55.6 MB | ||
| 10 - Hands-On-Activity-3.txt | 1.8 KB | ||
| 11 - Prompt Patterns Templates Chains and Variables.mp4 | 18.5 MB | ||
| 12 - Debugging and Refining Prompts for Better Results.mp4 | 36.6 MB | ||
| 13 - Writing and Optimizing SQL Queries with ChatGPT.mp4 | 55.4 MB | ||
| 14 - Data Profiling and Summarization.mp4 | 25.3 MB | ||
| 15 - Explaining Complex Queries and Database Schemas.mp4 | 39.8 MB | ||
| 16 - Data Cleaning Suggestions Using AI.mp4 | 58.8 MB | ||
| 17 - Autogenerating Python Scripts and Functions.mp4 | 55 MB | ||
| 18 - Converting Pseudocode to Productionready Code.mp4 | 17.9 MB | ||
| 19 - Writing ETL Scripts with ChatGPT.mp4 | 27.6 MB | ||
| 2 - Why Data Engineers Should Care About LLMs.mp4 | 23.6 MB | ||
| 20 - Using ChatGPT for Code Reviews and Refactoring.mp4 | 23.9 MB | ||
| 21 - ChatGPT-Apache-Spark-Integration-Scala.pdf | 143.6 KB | ||
| 21 - Connecting ChatGPT to Apache Spark Jobs.mp4 | 25.1 MB | ||
| 22 - Automating Airflow DAG Generation.mp4 | 24.5 MB | ||
| 23 - Assisting with Kafka Topic Management.mp4 | 60.3 MB | ||
| 24 - ChatGPT for Dockerfile and Kubernetes YAML Creation.mp4 | 45.3 MB | ||
| 25 - Autogenerating Project Documentation.mp4 | 47.4 MB | ||
| 26 - Writing README Files and Code Comments.mp4 | 22.8 MB | ||
| 27 - Explaining Data Workflows to NonTechnical Stakeholders.mp4 | 36.6 MB | ||
| 28 - Creating Architecture Diagrams from Text Prompts.mp4 | 20.1 MB | ||
| 29 - Writing Bash Scripts and Monitoring Scripts.mp4 | 18.3 MB | ||
| 3 - Capabilities Limitations of ChatGPT.mp4 | 31.5 MB | ||
| 30 - Assisting with CICD YAML Configuration.mp4 | 20.3 MB | ||
| 31 - Analyzing Log Files with ChatGPT.mp4 | 35.9 MB | ||
| 32 - Suggestions for Performance Tuning.mp4 | 36.4 MB | ||
| 33 - Avoiding OverReliance on AI.mp4 | 20 MB | ||
| 34 - Validating AIGenerated Code and Outputs.mp4 | 16.3 MB | ||
| 35 - Data Privacy Security Considerations.mp4 | 15 MB | ||
| 36 - Responsible Use of Generative AI in Data Teams.mp4 | 14.9 MB | ||
| 4 - ChatGPT Sneak Peek.mp4 | 25 MB | ||
| 5 - Hands On Practice Part 1.mp4 | 87.8 MB | ||
| 5 - Hands-On-Activity-1.txt | 5.4 KB | ||
| 6 - Use Cases of ChatGPT in Data Engineering.mp4 | 45.2 MB | ||
| 7 - Hands On Practice Part 2.mp4 | 155 MB | ||
| 7 - Hands-On-Activity-2.txt | 7.9 KB | ||
| 8 - What is Prompt Engineering.mp4 | 40.5 MB | ||
| 9 - Crafting Effective Prompts for Data Tasks.mp4 | 38.1 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 42 total files | |||
Chatgpt For Data Engineers
https://WebToolTip.com
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.32 GB | Duration: 4h 18m
Practical Applications of ChatGPT for Modern Data Engineers
What you'll learn
Learn how to use ChatGPT to write, debug, and optimize code for data pipelines, SQL queries, and automation scripts across tools like Spark, Airflow, and Bash.
Master Prompt Engineering for Data Use Cases
Discover how to apply ChatGPT in real-life use cases including pipeline creation, performance tuning, schema design, and cloud-based deployment.
Create custom workflows and tools using ChatGPT and APIs to automate repetitive tasks, enhance productivity, and boost team collaboration.
Requirements
Basic Understanding of Data Engineering Concepts
Working Knowledge of SQL and Python
Comfort with the Command Line & Scripting
Curiosity About AI and Automation
Optional: Familiarity with Tools Like Spark, Airflow, or Docker
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| 747.6 MB | freecoursewb | 1 week | 55 | 6 | |
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