Overview
The course outline provided above is a general framework for a 5-day course on Artificial Intelligence for Developers using ASP.NET C#. The actual content, duration, and hands-on activities can be customized based on the specific needs and level of expertise of the participants. Additionally, the course can be expanded or modified to cover more advanced topics in AI development with C# and ASP.NET, such as reinforcement learning, generative models, or deploying AI models as web services.
Objectives
- Understand fundamental concepts and principles of artificial intelligence and its applications.
- Explore AI frameworks, libraries, and tools available for ASP.NET C# development.
- Utilize machine learning algorithms and techniques within ASP.NET C# applications.
- Build AI-powered solutions for natural language processing, image recognition, and predictive analysis.
- Implement chatbots and conversational interfaces using ASP.NET C#.
- Integrate pre-trained AI models and cognitive services into ASP.NET C# applications.
- Understand best practices for data preparation, model training, and deployment in ASP.NET C#.
- Gain hands-on experience in developing and deploying AI solutions using ASP.NET C#.
- Address ethical considerations and challenges in AI development.
Audience
- Developers interested in integrating AI features into their ASP.NET C# applications
- IT professionals involved in ASP.NET C# development and customization
- Technical individuals seeking to enhance their skills in AI development using ASP.NET C#
Pre- requisites
- Basic knowledge of ASP.NET C# development and familiarity with AI concepts is recommended.
Duration: 5 days – 35 hrs
Course Content
Day 1: Introduction to Artificial Intelligence and ASP.NET C#
- Overview of Artificial Intelligence (AI) and its applications in various domains
- Understanding the role of developers in AI development and deployment
- Introduction to ASP.NET and C# for web development
- Setting up the development environment for ASP.NET C# projects
- Hands-on activity: Creating a basic ASP.NET web application using C#
Day 2: Machine Learning with C# and ML.NET
- Introduction to Machine Learning (ML) with C#
- Overview of ML.NET framework for developing ML models in C#
- Data preprocessing and feature engineering using ML.NET
- Building and training ML models in C#
- Hands-on activity: Developing a ML model using C# and ML.NET
Day 3: Deep Learning with C# and TensorFlow.NET
- Introduction to Deep Learning with C#
- Overview of TensorFlow.NET for deep neural networks in C#
- Building and training deep neural networks using TensorFlow.NET
- Transfer learning and fine-tuning pre-trained models in C#
- Hands-on activity: Implementing a deep learning model using C# and TensorFlow.NET
Day 4: Natural Language Processing (NLP) with C#
- Introduction to Natural Language Processing (NLP) with C#
- Text preprocessing and tokenization techniques in C#
- Sentiment analysis and text classification using C#
- Named Entity Recognition (NER) and Part-of-Speech (POS) tagging in C#
- Hands-on activity: Developing an NLP application using C# for sentiment analysis or text classification
Day 5: Computer Vision with C#
- Introduction to Computer Vision with C#
- Image preprocessing and manipulation techniques in C#
- Object detection and recognition using C#
- Image segmentation and feature extraction in C#
- Hands-on activity: Building a computer vision application using C# for object detection or image recognition
