Deep Neural Network
- Introduction to Neural Networks
- Feedforward Neural Networks
- Backpropagation
- Activation Functions
- Loss Functions
- Optimization Algorithms
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory Networks (LSTMs)
- Autoencoders
- Generative Adversarial Networks (GANs)
- Deep Reinforcement Learning
- Transfer Learning
- Neural Network Regularization Techniques
- Hyperparameter Tuning
Data Visualization using Tableau
- Introduction to Tableau
- Tableau Interface and Features
- Connecting to Data Sources
- Data Preprocessing in Tableau
- Creating Basic Charts (Bar, Line, Pie)
- Advanced Chart Types (Heat Maps, Tree Maps, Scatter Plots)
- Dashboard Creation
- Interactive Dashboards
- Using Filters, Groups, and Sets
- Calculated Fields and Table Calculations
- Parameters
- Data Blending
Fundamentals of Cloud Computing
- Introduction to Cloud Computing
- Cloud Service Models (IaaS, PaaS, SaaS)
- Cloud Deployment Models (Public, Private, Hybrid)
- Virtualization Basics
- Cloud Infrastructure Components
- Cloud Security Principles
- Networking in the Cloud
- Storage Options in the Cloud
- Identity and Access Management (IAM)
- Cloud Migration Strategies
- Monitoring and Management in the Cloud
Generative AI and Prompt Engineering
- Introduction to Generative AI
- Basics of Natural Language Processing (NLP)
- Introduction to Prompt Engineering
- Pretrained Language Models (such as GPT, BERT)
- Text Generation Techniques
- Fine-Tuning Language Models
- Conditional Generation
- Unconditional Generation
- Sampling Strategies
- Diversity and Control in Generation
- Bias and Fairness in Generative AI
