Advance

Learning Objectives: Model customer behavior; create visualizations.
Key Topics: Segmentation, dashboards, marketing metrics.
Activities: Visualization lab, marketing analytics project.

Expand all sectionsCollapse all sections

MODULE 1: Foundations of AI, Machine Learning, & Python Programming
(Days 1–30 / Classes 1–12)
12
MODULE 2: Generative AI, Deep Q-Learning, LLMs, & Prompt Engineering
(Days 31–60 / Classes 13–24)
12
MODULE 3: Blockchain, Data Science for Business, & Digital Marketing
(Days 61–90 / Classes 25–36)
12
Conclusion
This comprehensive, modular curriculum delivers a transformative learning journey across AI, generative models, machine learning, Python, blockchain, and digital marketing. Learners will graduate prepared to apply advanced technical and business skills, drive innovation, and lead in the tech industry. Each class leverages interactive activities, hands-on labs, and targeted learning objectives—ensuring students master critical concepts and real-world application for professional and career excellence.
0

Class 30: Advanced Data Analysis & Visualization for Digital Marketing

Summary: Use data-driven marketing approaches and storytelling.