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Data & AI Courses
Technical training without filler. Real projects, current stack, no theory you won't use.
10 modules In development (70% complete)
Data Engineering with AI Master
Real pipelines, real architecture, data that arrives clean and on time.
From ETL/ELT fundamentals to production pipelines. Dimensional modeling, data quality, Airflow, dbt, Spark and how to integrate AI at every layer of the stack. No empty theory — real projects on real data.
What it covers
- ETL/ELT with Python and SQL
- dbt and dimensional modeling
- Apache Airflow and orchestration
- Data quality and validation
- Data Warehousing (Snowflake, BigQuery)
- Spark for large volumes
- AI applied to data pipelines
- Monitoring and alerting
- Lambda and Kappa architectures
- End-to-end real projects
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6 modules In development
AI Development Master
Code that ships. Agents, LLMs, and automation without the hype.
How to use Claude, GPT, and open LLMs in real projects. Prompt engineering, agents with tools, RAG on your own documentation, and how to integrate everything into development workflows without overengineering.
What it covers
- Advanced prompt engineering
- Agents and tool use
- RAG: retrieval-augmented generation
- LLM integration in APIs
- Vibe coding with judgment
- Workflow automation
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I will notify you when available. No spam.