What you will learn

• Explore core concepts and foundations of Artificial Intelligence (AI) and Machine Learning (ML), focusing on real-world applications and innovative technologies.
• Tree Traversals Master tree data structures and traversal techniques essential for efficient AI algorithms implementation.
• Uses of Artificial Intelligence Understand diverse applications of Artificial Intelligence across industries like healthcare, finance, and autonomous systems, harnessing its potential for transformative change.
• Artificial Neural Networks (ANN): Dive into neural networks, learning how ANN models are structured for predictive analysis and pattern recognition.
• Autoencoders & Generative AI: Discover cutting-edge AI technologies, emphasizing autoencoders for unsupervised learning and the rise of generative AI.
• Linear & Logistic Regression: Gain practical experience with linear and logistic regression for predictive analytics and classification tasks in data-driven scenarios.
• Clustering & Classification: Develop a strong understanding of essential machine learning techniques like clustering and classification for effective data categorization.
• Recurrent Neural Networks (RNN): Learn the intricacies of RNNs, focusing on sequence prediction and their advanced capabilities in time-series data and natural language processing.
• Become a Competent AI Professional, by the end of this job-oriented AI ML course, you will acquire practical skills to learn AI and machine learning from scratch. You’ll understand the essential steps to learn artificial intelligence and machine learning and delve into deep learning, preparing you for success in today’s competitive tech landscape.