The AI and Machine Learning (AI/ML) course provides a comprehensive understanding of AI and ML concepts, including supervised and unsupervised learning, deep learning, and reinforcement learning. Participants will gain hands-on experience with popular frameworks like TensorFlow and PyTorch, and learn to build and optimize models for real-world applications. The course emphasizes automation, model evaluation, and deployment, preparing learners for AI projects and certifications.

The Data Analytics course covers essential skills for analyzing and interpreting data to drive business decisions. Learners will explore data cleaning, visualization, statistical analysis, and tools like Excel, SQL,Python, and Power BI. The program focuses on deriving insights from data, building dashboards, and automating reports, preparing participants for careers in data-driven fields and advanced certifications.