Apis, Python, AWS, LangChain, Data privacy and governance, LLMs, Serverless architectures, Vector databases, Machine learning models, Amazon SageMaker, Logging and observability, CI CD pipelines, AI pipelines, Generative AI models, Amazon Bedrock, Model performance tracking

Tensorflow, Containers, Python Programming, Rest Apis, Pytorch, Flask, cloud platforms, Generative AI LLMs, ML deep learning, agent frameworks, Hugging Face, RAG concepts, Fast API

Tensorflow, MLops, Pytorch, Python, Deep Learning, Advanced Statistics, probability theory, Production-Grade Code, Matrix Factorization Techniques

Tensorflow, Git, Machine Learning, Pytorch, Natural Language Processing, Keras, Sql, Python, Deep Learning, scikit-learn

Tensorflow, Pandas, Pytorch, Hadoop, Spark, Sql, Google Cloud, Python, AWS, Scikit-learn

Deep Learning, Tensorflow, Machine Learning, Pytorch, Python

probability , Matplotlib, Sql, Databricks, Tensorflow, Pandas, Tableau, Rest Apis, Power Bi, Pytorch, Azure ML, Apache Spark, Numpy, Seaborn, Azure Functions, Python, Docker, optimization fundamentals, linear algebra, scikit-learn, SHAP, LIME, Model evaluation techniques, Plotly, MLflow, Dask, Statistics, ML algorithms, GCP Vertex AI

Machine Learning, Pyspark, Kafka, Sql, Gcp, Spark, Azure, Devops Tools, Python, Computer Vision, Deep Vision algorithms, infrastructure automation, MLOps practices, model monitoring