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We provide training on AI and ML in a unique "case based" leaening method by using projects and case study, so that all students can relate it to real world. Trainings are provided at beginners and advanced level and are conducted both online and offline mode. Below are the list of trainings that we are offering.
This course will focus on understanding AI agents and how to use them create persona to perform complex, multi-step actions and make decisions independently.
This course includes how to uses LLM and prompt engineering for question answering, reasoning, text summarization ect. Also apllying RAG to access knowledge from external sources.
Here Semantic embeddings, Information retrieval, Text summarization, Language modelling and recommendation engine concepts will be taught.
Here advance concepts like Deep learning, Digital Image processing, Object detection, Handwriting recognition and Image captioning are taught in details.
This course includes Descriptive statistics, Inferential statistics, Supervised learning, Unsupervised learning, Model evaluation and Time series forecasting.
This course contains advanced ML concepts like ensemble modeling, Deep Learning, regularization, hyper parameter tuning and Reinforcement Learning.
In this course text representation, POS tagging, feature extraction, preprocessing, sentiment analysis, text similarity and topic mining will be taught.
This course will make any individual proficient in python coding. It includes data structure, conditional looping, functions, class, file handling, Regex, visualization and Vibe coding.
This course will take individual to expert level python coding. It includes recursive functions, OOPs, Generators, Decorators, Multi processing, Unit testing and backend web development.
This course will take individual to expert level R coding. It includes Data structures, conditional looping, functions, file handling, Regex, visualization, API interaction...
This course includes cloud architectures for AI processing and different techniques to deploy machine learning models at scale. Also includes distributed ML model training and inferencing.
Instructor led best course to learn Data analytics from beginning to expert level. It includes ETL, statistical analysis, data visualization, SQL and many more.
This is a combo course to become an expert data scientist. It includes Python programming, Machine learning, Natural language processing and Deep learning courses.
Combo course to become an expert AI developer. It includes advanced Python programming, overview of Machine learning, NLP and Deep learning. ML Ops concepts like model deployment and retraining.
Specialized course for MBA students, focusing on how to apply analytics and Gen AI in business management areas like marketing analytics, customer analytics and so on.
Specialized course for Econometrics students, focusing on how to apply statistics and mathematics in economics areas like demand forecasting, Panel data modeling, time series...
I attended the Road to Business Analytics course. It really helped me to get the in depth practical knowledge about marketing analytics.
Dipannita Sen
MBA Student
The Road to data science course is an excellent course that helped to change my career and become Data scientist.
Somnath Das
Manager, Tata communication
The LLM and AI agent for beginners courses gave me the practical development knowledge, which helped me to get a job.
Arnab Sarkar
B-Tech Student