Data Security, Data Governance Management System, Artificial Intelligence AI Approaches, Data Science Data visualisation, AI Machine Learning Deep Learning, Applied probabilities Statistics, Practical knowledge of containerization and cloud on-premise deployment, Data Science Advanced Analytics, Data Science Data Wrangling, Software engineering fundamentals, Generative AI Essentials Prompting

containerization , Machine Learning, T-sql, Pyspark, Python, Hadoop, Sql, Big Data Technologies, MLops, Spark, Databricks, AWS Bedrock, HuggingFace, Responsible AI practices, GitHub Actions, OpenAI APIs, Large Language Models, LangChain, Generative AI, Azure cloud ecosystem, Azure ML Studio, LLM security, Azure Foundry, CI-CD

Ml, Recommender Systems, Machine Learning, Cpu, Gpu, Deep Learning, Computer Vision, Bayesian models, LLMs, generative AI, event driven architecture, Optimization, Statistics, statistical modelling techniques, deep neural networks

Machine Learning, Deep Learning, Tensorflow, Sklearn, Numpy, Pytorch, MLops, Pandas, Keras, Python, CrewAI, LangChain, Generative AI, Polars, Pinecone, AutoGen, R, ChromaDB, Weaviate, LlamaIndex

Matplotlib, Machine Learning, Power Bi, Tableau, Deep Learning, Tensorflow, Numpy, Pandas, Pytorch, Docker, Kubernetes, Python, AWS, Generative AI, Scikit-learn

image recognition , probability , Correlation, Oracle Sql, Power Bi, Deep Learning, advanced analytics techniques, Excel advanced charts and analysis, Statistical Techniques, Variability, Regression, Normal Distribution, Descriptive Statistics, computer science skills, data extraction ETL processes, Lean and Six Sigma methodologies

BigQuery, Machine Learning, Predictive Analytics, Python, Deep Learning, Vertex AI

Tensorflow, Pytorch, Sentiment Analysis, Summarization, Generative AI, Few-shot learning, T5, BERT, NLP techniques, Transformer-based models, AI agents, Data-centric machine learning, AI-driven personalization, Search relevance, Text generation, Efficiency, Embeddings, Domain-specific relevance, Developing and fine-tuning LLMs, Latency optimization, Distillation, Policy optimization, Ranking systems, GPT-3, Deep learning frameworks

Databricks, Data Cleaning, Unsupervised Learning, Python, Azure Machine Learning, Advanced Analytics, AI ML models, data science methodologies, supervised learning