Intro to AI

Academy360.ai

CEO BigDataTrunk&Certify360.ai | Author

An immersive 3-hour hands-on training on Introduction to AI

This is live session we do for Stanford but have opportunity to include public audience.

Build practical AI foundations so you can identify opportunities, plan projects, and apply machine learning concepts confidently.

Evaluate where AI, ML, and DL fit best using real-world examples and decision-making frameworks.

Break down ML workflows from data input to prediction so you can explain how models improve over time.

Identify, collect, and assess relevant data to improve AI model accuracy and business outcomes.

Understand the differences among AI, Machine Learning, and Deep Learning
Understand the key differences between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). Learn how AI enables smart systems, ML allows machines to learn from data, and DL us
Understand how machines learn
Explore how machines learn from data using algorithms, patterns, and training models. Understand the basics of machine learning processes, including data input, prediction, and continuous improvement
Understand the importance of data and how to acquire appropriate data
Learn why data is essential for building effective AI and machine learning systems. Understand how to identify, collect, and use relevant, high-quality data to improve accuracy and decision-making.
Understand AI strategy and building AI projects
Learn the fundamentals of AI strategy and how to plan, design, and build successful AI projects. Understand key stages such as problem identification, data preparation, model selection, implementation
Recognizing opportunities for AI
Learn how to identify real-world opportunities where AI can improve efficiency, automate tasks, enhance decision-making, and create innovative solutions across different industries and business