Artificial Intelligence AI Course in Rawalpindi Islamabad 03360050007
Artificial Intelligence AI Course at Spectrum Intl Institute of Technology Rawalpindi 03111510555, 03365280876
Spectrum Intl Institute of Technology offers Best Artificial Intelligence Course with 40% theory and 60% Practical up to date course, Diploma Courses, Top Computer Courses, and Professional Courses. We Provide Corporate Trainings, Accounting Diploma course, Finance Diploma Course, and Business Administration Diploma Courses in Rawalpindi Islamabad. Our courses are taught by Industry Expert Team of Instructors.
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Artificial Intelligence AI Course Contents: A
- Overview of Artificial Intelligence, and History & Evolution of AI
- Ethical Considerations in AI, and Applications of AI (e.g., healthcare, finance, robotics)
- AI vs. Machine Learning vs. Deep Learning, and Problem Solving and Search
- Intelligent Agents & Environments, and Problem-Solving Techniques
- Uninformed Search (BFS, DFS), and Informed Search (A*, Greedy)
- Game Playing (Minimax, Alpha-Beta Pruning), and Knowledge Representation & Reasoning
- Propositional Logic, First-Order Logic, and Inference Techniques
- Rule-Based Systems, and Semantic Networks & Ontologies
- Machine Learning Basics, and Supervised vs. Unsupervised Learning
- Common Algorithms, Linear Regression, and Decision Trees
- Model Evaluation (Accuracy, Precision, Recall, F1 Score)
- Neural Networks & Deep Learning, and Support Vector Machines (SVM)
- Back propagation, and Convolutional Neural Networks (CNNs)
A I Course Contents: B
- Recurrent Neural Networks (RNNs), and Perceptron & Multi-Layer Perceptron
- Frameworks: TensorFlow & PyTorch (Basics), and Natural Language Processing (NLP)
- Computer Vision, and Image Processing Basics
- Text Preprocessing (Tokenization, Stemming, Lemmatization)
- Language Models (n-grams, transformers), and Sentiment Analysis
- Named Entity Recognition (NER), and Chatbots & Applications
- Object Detection, Recognition, and Face Detection
- Google Colab, and Cloud AI Services (AWS, Google Cloud, Azure)
- Capstone Project, and Choose a real-world problem
- Design an AI solution, and Build, test, and present the model
- Image Classification using CNNs, and Robotics & Expert Systems
- Introduction to Robotics, and Perception, Planning, and Actuation
- Expert Systems Architecture, and Real-life Applications
- AI Tools & Technologies, and Python for AI
- Libraries: NumPy, Pandas, scikit-learn, and Jupyter Notebooks
