Duration: 6 Months
Mode: Hybrid (Online + In-Person)
Schedule: 15 Hours per Week
This intensive 6-month program provides comprehensive training in Data Science, Machine Learning, Deep Learning, AI applications, and MLOps. Students begin with Python, SQL, data wrangling, and visualization, then progress to supervised/unsupervised ML, neural networks, NLP, computer vision, and generative AI. The course also covers data engineering, big data tools (Spark, Hadoop, Kafka), cloud workflows, and deployment using Docker, Kubernetes, and APIs. Learners gain industry-ready experience through hands-on projects, real datasets, and a full capstone project demonstrating end-to-end AI solution development.
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