Artificial Intelligence, Artificial Intelligence and Machine Learning, Software Engineering, Machine Learning, FastAPI, Python, Flask, Asynchronous programming, Aws, Azure, Docker, Git, Sql, Data Management, MLops, Llm

Tensorflow, Nlp, Pytorch, Python, GloVe, Hugging Face, vector databases, Pinecone, LLM architecture, Word2Vec, RAG pipelines, ChromaDB, fine-tuning techniques, APIs from major AI providers, LangChain, embedding preparation, Google, text processing, LLM training methodologies, LoRA, OpenAI, Neural Network fundamentals, QLoRA, sentence transformers

Apis, Microservices, Nlp, Python, LangChain, AI development frameworks, embeddings, vector databases, prompt engineering, AI testing methodologies, synthetic data generation, AI application development

Tensorflow, Nlp, Pytorch, Python, LangChain, APIs from major AI providers, GloVe, Google, Hugging Face, vector databases, Pinecone, LLM training methodologies, LLM architecture, Word2Vec, LoRA, OpenAI, Neural Network fundamentals, RAG pipelines, ChromaDB, fine-tuning techniques, QLoRA, sentence transformers

Cloud deployment, Tensorflow, Pandas, Api Integration, Pytorch, Python, Git, MLflow, Scikit-learn, Haystack, Azure OpenAI, Microsoft Copilot Studio, AI Foundry, LangChain, Transformers

CDK, Typescript, FastAPI, Python, Terraform, Docker, Flask, OpenAI, LlamaIndex, Google, Azure OpenAI, LangChain, AWS Bedrock, Anthropic

Databricks, Big Data Technologies, Tensorflow, Jira, Agile Methodologies, Pytorch, Terraform, Azure DevOps, Scrum, Machine Learning, Python, Nlp, data visualization tools, machine learning services, scikit-learn, Azure cloud platforms, open-source tools for data processing, Meta, Spark MLlib, cloud-based analytics, Apache MXnet, Kanban, HuggingFace, Generative AI, Document Intelligence, nemo, non-relational datastores

Java, Scala, Rest Apis, Python, Generative AI, Data Ingestion Pipelines, Go, Prompt Management, Vector Databases, Agentic AI, Multi-Agent Systems, AI Evaluation, AI ML technologies, Prompt Engineering