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Artificial intelligence & Machine learning

πŸ€– Artificial Intelligence & Machine Learning Course

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  • πŸ•’ Duration: 3 to 6 Months
  • πŸ“ Mode: Online & Offline
  • 🎯 Level: Beginner to Advanced
  • πŸ“œ Certification: Yes



🎯 Course Overview

Yeh course artificial intelligence aur machine learning ki fundamental aur advanced skills par focus karta hai. Isme aapko algorithms, neural networks, natural language processing, aur real-world applications sikhne ko milengi. Yeh course aapko data-driven decision making ke liye tayar karega.



πŸ‘¨β€πŸŽ“ Who Should Join?
  • βœ” Beginners jo AI aur ML seekhna chahte hain.
  • βœ” Data scientists aur analysts jo apni skills enhance karna chahte hain.
  • βœ” Professionals jo AI applications develop karna chahte hain.



πŸ“š Course Modules

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πŸ”Ή Module 1: Introduction to Artificial Intelligence
  • βœ… AI Basics (Definition, Importance, Applications).
  • βœ… Overview of AI Technologies and Tools.
  • βœ… Ethical Considerations in AI.
  • πŸ–Ό Example: Exploring AI applications in various industries.



πŸ”Ή Module 2: Machine Learning Fundamentals
  • βœ… Types of Machine Learning (Supervised, Unsupervised, Reinforcement).
  • βœ… Key Algorithms (Linear Regression, Decision Trees, Clustering).
  • βœ… Model Evaluation Techniques (Cross-Validation, Confusion Matrix).
  • πŸ–Ό Example: Building a simple machine learning model.



πŸ”Ή Module 3: Data Preprocessing and Feature Engineering
  • βœ… Data Cleaning Techniques (Handling Missing Values, Outliers).
  • βœ… Feature Selection and Extraction Methods.
  • βœ… Data Transformation Techniques.
  • πŸ–Ό Example: Preprocessing a dataset for analysis.



πŸ”Ή Module 4: Deep Learning
  • βœ… Introduction to Neural Networks and Their Architectures.
  • βœ… Understanding Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
  • βœ… Applications of Deep Learning in Image and Speech Recognition.
  • πŸ–Ό Example: Building a CNN for image classification.



πŸ”Ή Module 5: Natural Language Processing (NLP)
  • βœ… Basics of NLP and Its Significance.
  • βœ… Techniques for Text Processing and Sentiment Analysis.
  • βœ… Building Chatbots and Language Models.
  • πŸ–Ό Example: Creating a simple chatbot.



πŸ”Ή Module 6: Model Deployment and Optimization
  • βœ… Strategies for Deploying Machine Learning Models.
  • βœ… Performance Tuning and Optimization Techniques.
  • βœ… Introduction to Cloud Services for AI Applications.
  • πŸ–Ό Example: Deploying a model using cloud services.



πŸ”Ή Module 7: Hands-on Projects
  • πŸ“Œ Building a Recommendation System.
  • πŸ“Œ Creating a Predictive Model for Customer Churn.
  • πŸ“Œ Developing an Image Classification App.
  • πŸ“Œ Conducting a Capstone Project.



πŸ’‘ Why Choose This Course?
  • βœ… 100% Practical Learning with Real-World Projects.
  • βœ… Expert-Led Training & Mentorship.
  • βœ… AI & ML Certification upon Completion.
  • βœ… Career Guidance & Job Assistance.
  • βœ… Industry-Standard Best Practices.



πŸš€ Enroll Now & Start Your AI & ML Journey!

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  • πŸ“ž Contact: 9660571413, 8740932539
  • πŸ“ Branch 1: Kanta Choraha, Jhotwara, Jaipur
  • πŸ“ Branch 2: Sirsi Road, Panchyawala, Jaipur
  • 🌐 Website: tmscomputerclasses.com
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