Learn AI Data Engineering

David Melillo is a data leader with deep expertise across the entire data lifecycle, from engineering and architecture to data science. Having built large-scale data products and trained professionals at top companies and universities, he is known for his practical, real-world strategies for getting value from data.

• PART 1: CORE CONCEPTS OF DATA ENGINEERING WITH AI 1 BEFORE YOU BEGIN 2 ADVANTAGES & DISADVANTAGES OF USING A CODING COMPANION 3 USING A CODING COMPANION WITH SQL 4 USING A CODING COMPANION WITH PYTHON 5 USING THE OPENAI API IN DATA WORKFLOWS PART 2: DATA CLEANING & TRANSFORMATION PIPELINES WITH AI 6 AI & DATA QUALITY 7 AI AND ADVANCED DATA TRANSFORMATIONS 8 AI AND THE DATA LIFECYCLE 9 DATA CLEANING AND TRANSFORMATION PIPELINES IN PRACTICE PART 3: GENERATING DATA WITH AI 10 INTRODUCTION TO WEB SCRAPING 11 AI-POWERED WEB SCRAPING 12 AGENTIC WORKFLOWS IN ACTION APPENDICES APPENDIX A: SETTING UP YOUR ENVIRONMENT APPENDIX B: PROMPT ENGINEERING REFERENCE APPENDIX C: USING THE OPENAI API APPENDIX D: DATASET INDEX APPENDIX E: TROUBLESHOOTING COMMON ERRORS

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