Tensorflow, Pytorch, Api Development, Python, ETL and Data Pipelines, Model Deployment, Scikit-learn, Prompt Engineering

Data structures, Tensorflow, Algorithms, Pytorch, Docker, Rest Apis, Python, Kubernetes, Prompt engineering, Scikit-learn, Hugging Face, Lang Chain, Lang Graph, Claude, Microservices architecture, System design principles, CI/CD pipelines, Llama Index, Llama, Gemini, Large Language Models

Rest Apis, Microservices, Azure Databricks, Cloud Services, Kubernetes, Python, Docker, AI orchestration frameworks, Generative AI solution design, Developing agentic AI workflows, AI Engineering Generative AI, Data pipelines, Event-driven architectures, Large Language Model LLM application development, Feature engineering, Building deploying and maintaining AI-powered applications, CI CD pipelines, Software Engineering Application Development, Prompt engineering

react.js , Typescript, Javascript, Docker, Python, Integration, Node.js, Version Control, Git, Linux, Azure, Kubernetes, Agentic AI Framework, IaC, Security, Vector Databases, LLM Basics, Azure AI Search, Multi-Agent Frameworks, RAG Pipelines, Semantic Kernel, AutoGen, CI/CD, Responsible AI

Performance Tuning, Nlp, Ocr, Python, Azure Document Intelligence, embeddings, LLMs, machine learning pipelines, ABBYY, Google Document AI, Document AI, model validation, AWS Textract, Intelligent Document Processing

.NET, Azure Machine Learning, Github, PowerShell, Node.js, Sql, Angular, Tensorflow, React, Computer Vision, Pytorch, Javascript, Kubernetes, Python, Azure deployment services, Cognitive Services, GPT models, Azure CLI

Python, multimodal models, data pipelines, hallucination mitigation techniques, Mistral, MLOps tools, guardrails, RAG pipelines, Generative AI models, fine-tuning techniques, safety mechanisms, fine-tuning workflows, model monitoring, Haystack, LangChain, PEFT, instruction tuning, LLaMA, LLMs, Anthropic, prompt engineering, CI CD pipelines, LoRA, OpenAI, LlamaIndex

data warehouses , data engineering , snowflake , Orchestration, Pyspark, Cloud Technologies, Python, AWS, Sql, Gcp, Spark, Databricks, Azure, Etl, automation use cases, AI engineering, Data Lakes, data platforms, Lakehouse architectures, model integration, AI ML concepts, large-scale data processing, ELT pipelines, GenAI solutions

data engineering , Apis, Sql, Backend Development, system integration, Python, embeddings, data pipelines, LLMs, workflow orchestration, event-driven architectures, vector databases, prompt engineering, RAG, AI evaluation, semantic search, observability