RAG pipelines, Agentic AI, Python 3.x, multi-agent systems orchestration, ML GenAI models, Responsible AI practices

Ml, Nlp, MLops, Python, Deep Learning, ranking, Forecasting, Classification, LLM-based applications, Model packaging, anomaly detection

BigQuery, Cloud Storage, tool integration, embeddings, Prompt engineering, Agent loops, Agentic AI Basics, memory fundamentals, Coding Proficiency in Python, Pub Sub, GenAI Basics, Vertex AI, simple RAG concepts, GCP Services, familiarity with APIs and SDKs

Python Programming, Tensorflow, Pytorch, XGBoost, Software Engineering Architecture, Scikit-learn, Production Deployment DevOps, Data Science Analytics, ML DL Frameworks, AI Model Implementation, Cloud Platforms Services, Large Data Processing, API Development Integration, Security Compliance Practices

Tensorflow, Time Series Analysis, Pytorch, image processing techniques, Forecasting, reinforcement learning, computer vision algorithms

MLops, Python, AWS, NLP systems, multi-agent systems, cloud-based AI deployments, Llm, RAG, AI frameworks

Gitlab, Sql, Tensorflow, Pandas, Pytorch, Gcp, Git, XGBoost, Github, Numpy, AWS, Kubernetes, Python, Azure, Docker, Jenkins, Airflow, GitLab CI, scikit-learn, CoreML, Neptune.ai, TensorRT, GitHub Actions, MLflow, LightGBM, TensorBoard, TFLite

Pandas, Sql, Tensorflow, Numpy, MLops, Pytorch, Python, Docker, Apis, Nlp, Git, scikit-learn, ETL processes

Python, System Prompt Engineering, Tool Chaining

Tensorflow, Distributed Computing, Pytorch, Big Data Technologies, Python, scikit-learn, cloud platforms, machine learning techniques