Artificial Intelligence AI Course in Rawalpindi Islamabad 03360050007, 03365280876
Artificial Intelligence AI Course at Rawalpindi Institute of Business & Technology Chandni Chowk Murree Road Rawalpindi 03335105188, 03005135795
Rawalpindi Institute of Business & Technology provides the most Practical Artificial Intelligence AI Course under top industry experts with most comprehensive and practical course. RIBT Training Providers offer Computer Courses, Technical and Vocational Courses, Educational and Professional Courses using AI tools, methodology, tips and tricks and SOPS. Our AI Course is equipped with top corporate skills. We do teach Ethical IT and General Considerations in AI Course, Computer applications of AI for healthcare industry, and finance departments. AI course deals with Machine Learning skills, Best Deep Learning skills, Problem Solving techniques and Quality Search (in Search Engines). AI for Intelligent Agents, AI for Environments (IT based), and Problem Solving methods and terminology. Quick Search with AI, Smart AI uses and best Informed Search (IT Based Projects and Uses of AI)
AI Course Contents: A
- Introduction to Artificial Intelligence
- AI History uses in mankind
- Ethics and AI Technology
- Applications of AI and every day uses
- AI in finance, healthcare and robotics industry
- Machine Learning and AI Deep Learning
- AI and Problem Solving and Search
- Intelligent Agents & Environments
- Problem Solving Techniques in AI
- Informed Search and Uninformed Search
- Knowledge Representation in AI
- Process of Reasoning in AI
- Working with Propositional Logic
- Using First-Order Logic in AI
- Inference Techniques and AI Tools
- Use of Rule Based Systems
- Semantic Networks in AI
- Machine Learning System in AI
- Supervised and Unsupervised Learning
- Using Common Algorithms
- Linear Regression and Decision Trees in AI
- Model Evaluation in Projects
AI Course Contents: B
- Introduction to Robotics and Perception
- Planning, and Actuation
- Expert Systems Architecture, and Real-life Applications
- Using AI Tools and Technologies
- Working with Python for AI
- Using Perceptron and Multi-Layer (Perceptron)
- Working with Recurrent Neural Networks
- Frameworks and Natural Language Processing in AI
- Using Computer Vision
- Image Processing Basics in AI
- Text Preprocessing such as Tokenization
- Stemming and Lemmatization Process
- AI Language Models and Sentiment Analysis
- Project based Named Entity Recognition
- Recognition, Object Detection and Face Detection
- Google Colab and Cloud AI Services
- Choose a real-world problem
- Project based Design an AI solution
- Accuracy, Precision and Recall in Practical Project
- Working with Neural Networks and Deep Learning Methods
- Support Vector Machines
- Project based Back propagation
- Neural Networks and its Best Practices
