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IT: Artificial Intelligence & Data
Foundations of AI and Deep Learning
Curriculum
1 Section
21 Lessons
30 hours
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Unit 1 — Foundations of AI and Deep Learning
21
1.1
The Precursors of the Mechanical or “Formal” Reasoning
20 mins
1.2
The Digital Computer Era
20 mins
1.3
Cybernetics and the Beginning of the Robotic Era
20 mins
1.4
Birth of AI and Symbolic AI (1955–1985)
20 mins
1.5
Subsymbolic AI Era (1985–2010)
20 mins
1.6
Deep Learning and LLM (2010–Present)
20 mins
1.7
Key Takeaways
20 mins
1.8
What Is Machine Learning?
20 mins
1.9
Implementation of Machine Learning
20 mins
1.10
Key Takeaways
20 mins
1.11
References
20 mins
1.12
Deep Learning vs. Machine Learning
20 mins
1.13
The History of Deep Learning
20 mins
1.14
Understanding Deep Learning
20 mins
1.15
Neural Network Architectures
20 mins
1.16
Putting It All Together
20 mins
1.17
Deep Learning on AWS
20 mins
1.18
Key Takeaways
20 mins
1.19
References
20 mins
1.20
Generative AI Core Technologies
20 mins
1.21
Transformer Architecture: Deep Dive
20 mins
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