Introduction to AI Chatbots
Learn the fundamentals of AI chatbots, conversational AI, NLP basics, prompts, intent recognition, and chatbot conversation flow design. Explore chatbot…
Machine Learning in Finance: Basics
Introduction to ML in finance, financial data types, market trends, and the role of data in banking, investment, and decision-making.…
Introduction to Computer Vision
Fundamentals of computer vision, digital images, pixels, image data, and basic image processing concepts. Core techniques like pattern recognition and…
Basics of Predictive Analytics
Covers predictive analytics fundamentals, data types, trends, features, target variables, and the role of data in decision-making. Introduces basic predictive…
AI Ethics and Responsible AI
Introduction to AI ethics, responsible AI principles, societal impact, and ethical challenges in AI systems. Covers bias, fairness, transparency, privacy,…
Introduction to Generative AI
499Covers fundamentals of generative AI, tools, models, and prompting techniques for effective AI interaction. Focuses on responsible usage, real-world applications,…
AI in Healthcare: An Introduction
Overview of AI applications in healthcare, including diagnostics, medical imaging, and predictive analytics. Ethical considerations, data privacy, and real-world case…
Introduction to Reinforcement Learning
Fundamentals of reinforcement learning, agents, environments, rewards, and decision-making processes. Key concepts like policies, value functions, and real-world applications in…
Basics of Natural Language Processing
Introduction to NLP concepts, text preprocessing techniques, and language representation methods. Core tasks like text classification, sentiment analysis, and applications…
Introduction to Neural Networks
Fundamentals of neural networks, perceptrons, activation functions, and network architectures. Training neural networks using backpropagation, basic deep learning concepts, and…
Basics of Supervised and Unsupervised Learning
Introduction to supervised and unsupervised learning, key algorithms like regression, classification, clustering, and dimensionality reduction. Model training, evaluation techniques, and…
Python for Data Science
Python for Data Science is an Intermediate-level, 4 Weeks online program by DSTC. Master Python for Data Science through hands-on…
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