Api Integration, Performance Tuning, Orchestration layers, LLMOps practices, AI services, Secure deployment, Workflow Automation, Cost Optimization, Observability

data engineering , Databricks, Technology, explainable ai, AI-Responsible AI, Responsible AI

snowflake , T-sql, Snowpipe, Sql, Plsql, Data Warehousing, Python, DataStream ETL Fundamentals, SnowSQL, Generative AI, Cortex AI Functions, Stored Procedures, Data Modelling Fundamentals

data engineering , Docker, Kubernetes, Python, AWS, AI Engineering

Information Retrieval, Testing, Git, Docker, Kubernetes, LangChain, Crew.ai, embedding models, vector databases, Anthropic, knowledge retrieval systems, prompt engineering, safety considerations, Autogen, development frameworks, Advanced Python programming, LLM optimization techniques, NLP techniques, async programming, RAG pipelines, OpenAI, semantic search, agent alignment

Elk, PostgreSQL, Grafana, Code Review, Python, Apis, Graphql, OLAP, Incident Management, Redis, REST, Cache, Oltp, Technical debt management, Go, Production Support, Testing strategy, AI tools, ClickHouse, Lake patterns, Data ingestion, Analytics pipelines, Data Lakehouse, SLOs, CI/CD, Reliability improvements