Build a strong foundation with essential programming skills (Python) and data analytics techniques. Learn how to extract, analyze, and visualize data to draw actionable insights, setting the stage for advanced AI/ML concepts.

Dive into core machine learning algorithms and techniques. From supervised to unsupervised learning, gain hands-on experience in building predictive models and solving real-world business problems using data.

Explore the world of neural networks, CNNs, RNNs, and more. Learn how deep learning powers applications like image recognition, natural language processing, and autonomous systems, using frameworks like TensorFlow and PyTorch.

Step into the future with Generative AI! Understand how models like GANs and transformers work and create your text, images, and other creative content using state-of-the-art tools like ChatGPT and DALL-E.

Master the deployment, monitoring, and scaling of AI models in production environments. Learn industry-grade practices in MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations) to ensure your models are efficient, reliable, and impactful.