AI for Everyone: Understanding and Applying the Basics on Artificial Intelligence

This module covers the basics of AI, its types, and real-world applications across industries like healthcare, transportation, and education, while also exploring ethical considerations and opportunities for personal AI use.

This module covers data collection, types of data, data preprocessing, feature engineering, and machine learning workflows, emphasizing the importance of data in AI and introducing key concepts like structured and unstructured data.

This module explains the machine learning model life cycle, including data gathering, pattern identification, training, evaluation, and deployment. It introduces four learning types and common algorithms like Naive Bayes, SVM, and neural networks.

This module explores machine learning and deep learning applications, highlighting a personalized fitness app that tailors workout and meal plans based on user data and preferences, optimizing personalization through feedback.

This module discusses Google's real-time voice translator as an example of deep learning, which improves through user interactions. Participants are tasked with identifying everyday machine learning and deep learning applications in their daily lives.

This Module introduces generative AI, explaining its role in creating original content like art and music using GANs. It highlights its economic potential, real-life applications in personalized tutoring and customer service, and terms like LLM and foundation models.

This module covers practical applications of generative AI models like Chat GPT, GPT 3.5, GPT 4, and Antropic's Clod. It introduces Amazon Bedrock, perplexity, and Retrieval Augmented Generation (RAG) technology for enhancing AI responses.

This Module focuses on responsible AI, addressing key aspects like fairness, transparency, privacy, sustainability, and regulatory compliance. It emphasizes AI's societal impact, human-centric development, and the importance of security and safety to prevent misuse.