Artificial Intelligence Course & Certification

by MindForge Infotech Claim Listing

The Artificial Intelligence (AI) Course provides a comprehensive introduction to the principles and techniques behind intelligent systems. Covering a wide range of topics, the course includes machine learning, neural networks, natural language processing, computer vision, and robotics.

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Course Details

The Artificial Intelligence (AI) Course provides a comprehensive introduction to the principles and techniques behind intelligent systems. Covering a wide range of topics, the course includes machine learning, neural networks, natural language processing, computer vision, and robotics.

Participants will explore how AI algorithms mimic human intelligence to solve complex problems, from automating tasks to making predictions. Using tools like Python, TensorFlow, and Keras, students will gain hands-on experience in building AI models and deploying them in real-world applications. By the end of the course, participants will have a solid foundation in AI, enabling them to create intelligent systems and drive innovation.

In addition to technical skills, the course emphasizes the ethical considerations and societal impacts of AI, including data privacy, fairness, and the implications of automation. Students will also learn best practices for model evaluation, optimization, and deployment in industries like healthcare, finance, robotics, and autonomous systems.

This course prepares individuals for in-demand careers such as AI Engineer, Data Scientist, Machine Learning Engineer, and Research Scientist, offering opportunities to contribute to cutting-edge advancements in technology and transform industries with AI-driven solutions.

 

Artificial Intelligence Curriculum:

  • Module 1: Introduction to Artificial Intelligence
  • Overview of AI: Definition, History, and Applications
  • Types of AI: Narrow AI, General AI, and Superintelligent AI
  • AI vs Machine Learning vs Deep Learning
  • Real-World Applications of AI: Healthcare, Autonomous Vehicles, Finance, Robotics
  • Module 2: Mathematics for AI
  • Module 3: Python for AI
  • Module 4: Machine Learning Fundamentals
  • Module 5: Deep Learning
  • Module 6: Natural Language Processing (NLP)
  • Module 7: Computer Vision
  • Module 8: Reinforcement Learning (Optional)
  • Module 9: AI Ethics and Responsible AI
  • Module 10: AI in Industry
  • Module 11: AI Model Deployment
  • Module 12: Capstone Project
  • Navi Mumbai Branch

    Real Tech Park, 9th floor, Office No. 905, Navi Mumbai

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