- Foundations of Artificial Intelligence
Introduction to AI Core Concepts and Techniques in AI Ethical Considerations
- Introduction to AI Architecture
Overview of AI and its Various Applications Introduction to AI Architecture Understanding the AI Development Lifecycle Hands-on: Setting up a Basic AI Environment
- Fundamentals of Neural Networks
Basics of Neural Networks Activation Functions and Their Role Backpropagation and Optimization Algorithms Hands-on: Building a Simple Neural Network Using a Deep Learning Framework
- Applications of Neural Networks
Introduction to Neural Networks in Image Processing Neural Networks for Sequential Data Practical Implementation of Neural Networks
- Significance of Large Language Models (LLM)
Exploring Large Language Models Popular Large Language Models Practical Finetuning of Language Models Hands-on: Practical Finetuning for Text Classification
- Application of Generative AI
Introduction to Generative Adversarial Networks (GANs) Applications of Variational Autoencoders (VAEs) Generating Realistic Data Using Generative Models Hands-on: Implementing Generative Models for Image Synthesis
- Natural Language Processing
NLP in Real-world Scenarios Attention Mechanisms and Practical Use of Transformers In-depth Understanding of BERT for Practical NLP Tasks Hands-on: Building Practical NLP Pipelines with Pretrained Models
- Transfer Learning with Hugging Face
Overview of Transfer Learning in AI Transfer Learning Strategies and Techniques Hands-on: Implementing Transfer Learning with Hugging Face Models for Various Tasks
- Crafting Sophisticated GUIs for AI Solutions
Overview of GUI-based AI Applications Web-based Framework Desktop Application Framework
- AI Communication and Deployment Pipeline
Communicating AI Results Effectively to Non-Technical Stakeholders Building a Deployment Pipeline for AI Models Developing Prototypes Based on Client Requirements Hands-on: Deployment
- Foundations of Artificial Intelligence
Introduction to AI Core Concepts and Techniques in AI Ethical Considerations
- Introduction to AI Architecture
Overview of AI and its Various Applications Introduction to AI Architecture Understanding the AI Development Lifecycle Hands-on: Setting up a Basic AI Environment
- Fundamentals of Neural Networks
Basics of Neural Networks Activation Functions and Their Role Backpropagation and Optimization Algorithms Hands-on: Building a Simple Neural Network Using a Deep Learning Framework
- Applications of Neural Networks
Introduction to Neural Networks in Image Processing Neural Networks for Sequential Data Practical Implementation of Neural Networks
- Significance of Large Language Models (LLM)
Exploring Large Language Models Popular Large Language Models Practical Finetuning of Language Models Hands-on: Practical Finetuning for Text Classification
- Application of Generative AI
Introduction to Generative Adversarial Networks (GANs) Applications of Variational Autoencoders (VAEs) Generating Realistic Data Using Generative Models Hands-on: Implementing Generative Models for Image Synthesis
- Natural Language Processing
NLP in Real-world Scenarios Attention Mechanisms and Practical Use of Transformers In-depth Understanding of BERT for Practical NLP Tasks Hands-on: Building Practical NLP Pipelines with Pretrained Models
- Transfer Learning with Hugging Face
Overview of Transfer Learning in AI Transfer Learning Strategies and Techniques Hands-on: Implementing Transfer Learning with Hugging Face Models for Various Tasks
- Crafting Sophisticated GUIs for AI Solutions
Overview of GUI-based AI Applications Web-based Framework Desktop Application Framework
- AI Communication and Deployment Pipeline
Communicating AI Results Effectively to Non-Technical Stakeholders Building a Deployment Pipeline for AI Models Developing Prototypes Based on Client Requirements Hands-on: Deployment
, Foundations of Artificial Intelligence, Introduction to AI Architecture, Fundamentals of Neural Networks, Applications of Neural Networks, Significance of Large Language Models (LLM), Application of Generative AI, Natural Language Processing, Transfer Learning with Hugging Face, Crafting Sophisticated GUIs for AI Solutions, AI Communication and Deployment Pipeline, Optional Module: AI Agents for Engineering
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