This Machine Learning for AI Training program is designed to provide a comprehensive understanding of how machines learn from data and make intelligent decisions. The course covers the complete machine learning lifecycle, including data collection, preprocessing, feature engineering, model development, training, evaluation, and deployment. Participants will gain hands-on experience with popular Machine Learning algorithms, Python-based ML libraries, and real-world AI applications. Through practical exercises and industry-focused projects, learners will develop the skills needed to build predictive models, solve complex business problems, and create intelligent AI-driven solutions. By the end of the course, participants will be well-equipped to pursue careers in Artificial Intelligence, Machine Learning, and Data Science.
Learn the fundamentals of Machine Learning and its role in Artificial Intelligence. This hands-on course covers data preprocessing, supervised and unsupervised learning, model building, evaluation techniques, and real-world AI applications, helping you develop intelligent solutions and build a strong foundation for a career in AI and Machine Learning.
Download the course curriculum PDF or contact us for the complete training plan.
03 WEEKS Learn AWS server setup, EC2 basics, hosting workflow, and practical cloud deployment.
04 WEEKS Build practical skills in AWS Solution architect with guided training and hands-on practice.
02 WEEKS Manage relational databases on AWS with backups, monitoring, scaling, and access control.
04 WEEKS Master S3 buckets, static hosting, permissions, lifecycle rules, and storage best practices.
