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Intermediate AI Training

Foundations and Applications

Welcome to your Intermediate-level AI Training! Today we'll explore AI fundamentals, training methods, business applications, project lifecycles, essential tools, best practices, and where to continue your AI learning journey.

Readiness Check: Are You Prepared?

Which of the following best describes your familiarity with AI concepts?

I'm new to AI and want to learn the basics

I understand basic concepts but want to deepen my knowledge

I'm familiar with AI and looking for practical implementation strategies

July 2025

What is Artificial Intelligence

What is Artificial Intelligence (AI)?

AI refers to machines that mimic human intelligence to perform tasks such as learning, reasoning, and problem-solving.

Business Transformation

Automation of repetitive tasks, saving time and reducing errors
Enhanced decision-making through data analysis
Personalized customer experiences at scale

Quick Quiz

Which of the following best describes AI?

A. Robots that look and behave like humans

B. Systems that mimic human intelligence and perform cognitive tasks

C. Computer programs that automate simple tasks

AI Applications

Automation

Analytics

Chatbots

Computer Vision

Knowledge Check

AI is a subset of:

Robotics

Computer Science

Internet of Things

2

Deep Learning Techniques and Optimization

Advanced techniques to improve deep learning model performance, convergence speed, and generalization.

Key Optimization Techniques

Regularization: Dropout, L1/L2, weight decay to prevent overfitting
Batch Normalization: Normalizing layer inputs for faster training
Learning Rate Schedules: Cyclical, decay, warmup strategies
Gradient Clipping: Preventing exploding gradients
Advanced Architectures: Autoencoders, VAEs, GANs

Quick Quiz

Which technique helps prevent exploding gradients during training?

A. Batch Normalization

B. Gradient Clipping

C. Dropout

Optimization Benefits

Faster Training

Better Accuracy

Generalization

Efficiency

Knowledge Check

Batch normalization primarily helps with:

Reducing parameter count

Faster convergence

Memory optimization

3

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