Full Stack Data Science Course

About The Course

The Full Stack Data Science with Gen AI and Agentic AI training at Ashok IT is designed to help learners master data science, machine learning, deep learning, and modern AI technologies. This program covers statistics, probability, Python programming, data analytics, machine learning, NLP, deep learning, generative AI, LangChain, vector databases, and agentic AI frameworks. With real-world projects and hands-on practice, learners will be ready for high-demand data roles in the AI-driven industry.

Full Stack Data Science with Gen AI and Agentic AI Course Description

Our Full Stack Data Science with Gen AI and Agentic AI course provides a complete journey from data foundations to advanced AI applications. Learners start with statistics, probability, and Python for data science, followed by exploratory data analysis, machine learning algorithms, and model evaluation techniques.

The course also dives deep into unsupervised learning, NLP, and deep learning with ANN, CNN, and LSTMs, along with modern tools like XGBoost, PCA, and clustering. Advanced modules cover Generative AI concepts, LangChain memory, vector databases, and Agentic AI workflows, preparing learners for the future of intelligent automation and AI-powered solutions.

Full Stack Data Science with Gen AI and Agentic AI Course Objectives

The objectives of the Full Stack Data Science with Gen AI and Agentic AI training are to:

• Provide strong foundations in statistics, probability, and Python programming.
• Teach data preprocessing, EDA, and feature engineering.
• Build expertise in machine learning regression and classification algorithms.
• Explain unsupervised learning, clustering, and dimensionality reduction techniques.
• Train learners in deep learning with ANN, CNN, LSTM, and Bi-LSTM.
• Introduce NLP techniques such as tokenization, TF-IDF, and text cleaning.
• Cover Generative AI models, LangChain, and memory management.
• Explain vector databases and their role in large language models (LLMs).
• Provide real-world projects integrating Gen AI and Agentic AI.
• Prepare learners for global data science and AI career opportunities.