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Advanced Level 8 Weeks Duration

AI & Deep Learning in Practice

Dive deep into artificial intelligence and machine learning. Build neural networks, work with generative AI models, and create intelligent applications that solve real-world problems using cutting-edge frameworks and APIs.

Neural Networks & Deep Learning
Computer Vision Applications
Natural Language Processing
Enroll Now View Curriculum

15+

AI Projects

5

AI Frameworks

120%

Salary Increase

95%

Job Success

Master the Future of Technology

Artificial Intelligence is reshaping every industry. This intensive program covers both theoretical foundations and practical implementation of AI systems, from neural networks to generative AI models.

Real-World AI Applications You'll Build

Computer Vision System
Object detection and image classification
Intelligent Chatbot
NLP-powered conversational AI
Predictive Analytics Model
Time series forecasting and analysis
Generative AI Art Tool
AI-powered content generation

Core Learning Outcomes

Build and Train Neural Networks
Implement Computer Vision Solutions
Create NLP Applications
Deploy AI Models to Production
Work with Pre-trained Models
Integrate AI APIs and Services

Course Information

Duration: 8 Weeks
Level: Advanced
Class Size: Max 12 Students
Format: Online + GPU Access
Certificate: AI Practitioner
Prerequisites: Python programming
experience

AI Frameworks & Tools

Master the most powerful AI development frameworks used by leading tech companies.

Python

Primary programming language for AI development

TensorFlow

Google's comprehensive machine learning platform

PyTorch

Facebook's dynamic deep learning framework

Hugging Face

State-of-the-art NLP models and transformers

OpenAI API

GPT models and advanced AI capabilities

Jupyter

Interactive development environment for AI

Comprehensive AI Curriculum

8 weeks of intensive hands-on learning covering all aspects of modern AI development.

Week 1

AI Fundamentals & Python Setup

  • Introduction to AI and Machine Learning
  • Python for AI Development
  • NumPy, Pandas, and Matplotlib
  • Data Preprocessing Techniques
  • Setting up AI Development Environment
Week 2

Machine Learning Foundations

  • Supervised vs Unsupervised Learning
  • Regression and Classification Algorithms
  • Model Evaluation and Validation
  • Feature Engineering and Selection
  • Scikit-learn Implementation
Week 3

Deep Learning & Neural Networks

  • Neural Network Architecture
  • Backpropagation and Optimization
  • TensorFlow and Keras Basics
  • Building Your First Neural Network
  • Overfitting and Regularization
Week 4

Computer Vision with CNN

  • Convolutional Neural Networks
  • Image Classification Projects
  • Object Detection Techniques
  • Transfer Learning with Pre-trained Models
  • OpenCV and Image Processing
Week 5

Natural Language Processing

  • Text Preprocessing and Tokenization
  • RNNs and LSTM Networks
  • Transformer Architecture
  • Working with BERT and GPT Models
  • Sentiment Analysis and Text Generation
Week 6

Advanced Deep Learning

  • Generative Adversarial Networks (GANs)
  • Autoencoders and Variational AE
  • Reinforcement Learning Basics
  • PyTorch Advanced Techniques
  • Model Optimization and Pruning
Week 7

AI APIs & Cloud Deployment

  • OpenAI API Integration
  • Hugging Face Model Hub
  • Cloud AI Services (AWS, Google Cloud)
  • Model Serving and APIs
  • MLOps and Model Monitoring
Week 8

Capstone AI Project

  • End-to-End AI Application Development
  • Multi-modal AI Systems
  • Production Deployment Strategies
  • AI Ethics and Responsible AI
  • Portfolio Project Presentation

Shape the Future with AI

Join the AI revolution and become a creator of intelligent systems. Build the applications that will define tomorrow's technology landscape.

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