Advanced Machine Learning – Self Paced
Enroll in the Advanced Machine Learning Course to learn deep learning, NLP, image classification, fraud detection, and recommender systems using Python, TensorFlow, and Keras.
Data Science
Basic Machine Learning – Self Paced
Master Machine Learning Basics with Python, Scikit-Learn, TensorFlow, and Keras. Learn regression, classification, clustering, and deep learning with hands-on projects.
Data Science – Self Paced
Enroll in our AICTE-approved Data Science course and master Python, Machine Learning, NLP, EDA, and advanced analytics. Become a certified Data Scientist with job-ready skills and boost your career growth.
Data Engineering – Self Paced
Enroll in our AICTE-approved Data Engineering course to learn data pipelines, Hadoop, Spark, ETL, data lakes, and machine learning integration. Become a certified Data Engineer with job-ready skills.
Data Analytics – Self Paced
Enroll in our AICTE-approved Data Analytics course and master statistics, Python, machine learning, big data, NLP, visualization, and deployment. Become a certified data analyst with job-ready skills.
Data Analytics – Self Paced
Master data analytics, machine learning, big data, NLP, and time series forecasting with Python and advanced tools. Transform data into actionable insights and deploy real-world analytics solutions.
Bioinformatics – Self Paced
Master Bioinformatics with genome sequencing, DNA mutations, molecular evolution, and big data analysis in biology. Industry-relevant skills for biotech and research careers.
Advanced Big Data – Self Paced
Master Advanced Big Data concepts including Hadoop, Spark, Machine Learning, Data Engineering, Cloud, and Governance with this industry-approved program.
Basics of Big Data – Self Paced
Learn the basics of Big Data including Hadoop, Spark, Hive, Kafka, ETL, and real-time analytics with industry-ready tools and cloud integration.
Applied Machine Learning in Python – Self Paced
Advance your career with Applied Machine Learning in Python. Learn supervised, unsupervised, and deep learning models, evaluation techniques, and real-world applications using Python.
