snowflake , Hadoop Ecosystem, Pyspark, Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Machine Learning Algorithms, Sql, Big Data Technologies, Data Warehousing Concepts, Gcp, Spark, Apache Kafka, Databricks, Azure, Kubernetes, Airflow, ML pipelines, ETL ELT pipelines, Deep Learning frameworks, Generative AI concepts, Infrastructure automation, Scikit-learn, CI CD pipelines, MLOps frameworks

Java, Sql, Tensorflow, Nosql, MLops, Pytorch, Docker, Kubernetes, Python, Scikit-learn, MLflow, R, KServe

Java, Sql, Nosql, Tensorflow, Pytorch, MLops, Docker, Python, Kubernetes, Scikit-learn, MLflow, R, KServe

Java, PowerShell, Itil, Gcp, Pytorch, Docker, Azure, Kubernetes, Python, LLMs, AI ML libraries and frameworks, AI Engineering, GenAI ML solutions, AIOps

Data Warehousing, Data Architecture, AI ML, Tensorflow, Pytorch, Version Control Systems, Python, Cloud Computing, Machine Learning Algorithms, DevOps practices, SageMaker, data lakes, ETL processes, model evaluation techniques, Statistical Modeling

Tensorflow, Pytorch, Docker, Python, AWS, Pandas, Gcp, MLops, Kubernetes, Airflow, Langchain, scikit-learn, MLflow, Traditional ML, LangGraph, Kubeflow, model risk management, LLM Orchestration frameworks, NoSQL databases, Graph database, vLLM, LMDeploy, CI CD pipelines, GenAI LLM, AI governance

Java, Azure Machine Learning, Python, Deep Learning frameworks, Model evaluation techniques, Azure Cognitive Services, Feature engineering

Azure Functions, Docker, Python, Machine Learning Algorithms, AWS, Java, Aws Lambda, Azure Machine Learning, Azure, Kubernetes, GenAI, scaling of GenAI applications, Google Cloud AI Platform, Amazon SageMaker, AWS AI ML services, Google GenAI services, model evaluation techniques, Azure Cognitive Services, data preprocessing, DevOps practices, deep learning frameworks, Google Cloud Functions, cloud-based deployment, Google Cloud AutoML, reinforcement learning frameworks, CI CD pipelines, feature engineering, OpenAI, GPT-3