Advanced AI and ML Courses

Learning Objectives: Implement OOP; manipulate data frames.
Key Topics: Classes; inheritance; NumPy; Pandas; Matplotlib.
Activities: Mini projects, data wrangling tasks.

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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.
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Class 3: Advanced Python Programming & Libraries

Summary: Explore object-oriented programming, NumPy, Pandas, and visualization tools.