Algorithms, Machine Learning, data structures, Python, AI ML solutions, Generative AI, AI concepts, software development concepts, LLM-based applications

Python, Tensorflow, Django, Machine Learning, Kafka, AWS, Angular, Pytorch, Kubernetes, Azure, Gcp, Docker, Flask, Responsible AI practices, Microsoft Copilot Studio

PostgreSQL, Docker, Python, Databases, Apis, Redis, Cloud Infrastructure, RAG embeddings, pgvector, memory context management, tool-calling systems, backend fundamentals, vector databases, LangGraph, OpenAI Agents SDK, production infrastructure, Multimodal AI, LLM evaluation, observability, LLM AI systems, PydanticAI, async systems, agentic workflows, Hybrid search reranking, stateful AI systems, MCP, LlamaIndex

Microsoft Azure, Python, GitHub Copilot, RESTful API design, AI ethics and regulations, AI frameworks

snowflake , Retrieval-Augmented Generation (RAG), Pyspark, Dimensional Modeling, Autosys, ELT, Apache Airflow, Python, Ml, Apis, Shell Scripting, Sql, Job Monitoring, Data Warehousing, Etl, AI-assisted Development, Workflow Orchestration, Vector Databases, Batch Processing, Prompt-based Tools, Data Ingestion Frameworks, Generative AI, AWS Cloud Technologies, Ai, Scheduling, Data Quality Controls, Production Support

Python, LangChain, LLM deployment, AI Agents, tool calling, MCP Servers, memory sharing, LangGraph, Agentic AI, RAG, deploying and integrating LLM-based applications, Langflow