Lessons
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lesson
Technical Orientation (Python, Numpy, Probability, Statistics, Tensors)Power AI course- How AI Thinks in Numbers: Dot Products and Matrix Logic - NumPy Power-Tools: The Math Engine Behind Modern AI - Introduction To Machine Learning Libraries - Two and Three Dimensional Arrays - Data as Fuel: Cleaning, Structuring, and Transforming with Pandas - Normalization in Data Processing: Teaching Models to Compare Apples to Apples - Probability Foundations: How Models Reason About the Unknown - The Bell Curve in AI: Detecting Outliers and Anomalies - Evaluating Models Like a Scientist: Bootstrapping, T-Tests, Confidence Intervals - Transformers: The Architecture That Gave AI Its Brain - Diffusion Models: How AI Creates Images, Video, and Sound - Activation Functions: Teaching Models to Make Decisions - Vectors and Tensors: The Language of Deep Learning - GPUs, Cloud, and APIs: How AI Runs in the Real World
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Securing an AWS Virtual Private Cloud for Django DeploymentServerless Django with ZappaInto your secure VPC
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Creating a Virtual Private Cloud in AWS for a Relational DatabaseServerless Django with ZappaWalking through the AWS Console
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A Primer on Securing Serverless Apps in AWSServerless Django with ZappaThe importance of security
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An Introduction to Creating Django Models [with Examples]Serverless Django with ZappaLet's enhance our project a bit
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Connecting a Django App to a PostgreSQL DatabaseServerless Django with ZappaLet's try to connect to the database