Artificial Intelligence (Open AI)

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This course introduces learners to the fundamentals of AI, its real-world applications, and the latest advancements in machine learning, deep learning, and automation. By the end of this course, learners will understand how AI works and how to implement AI-driven solutions in different industries.

Instructor: Mr Usman
Level: Beginner
Lectures: 10
Duration: 2 Months
Location: Online

What We Offer ?

  • Certified Course Completion Certificate

    Awarded upon successful completion of the training program.

  • One-Month Internship Letter

    Provided to acknowledge participation in a practical internship experience.

  • Eligibility for a Three-Month Paid Internship

    Top-performing candidates may be selected for an extended, paid internship opportunity.

  • Introduction to Artificial Intelligence

    • What is AI? Definition & History
    • Types of AI: Narrow AI vs. General AI vs. Super AI
    • AI vs. Machine Learning vs. Deep Learning
    • Ethical Considerations in AI

    AI Applications in the Real World

    • AI in Healthcare (Diagnosis & Drug Discovery)
    • AI in Business & Marketing (Chatbots, Analytics)
    • AI in Finance (Fraud Detection, Algorithmic Trading)
    • AI in Transportation (Self-Driving Cars, Traffic Optimization)
    • AI in Entertainment (Recommendation Systems, Video Game AI)

    Machine Learning Basics

    • Supervised, Unsupervised, and Reinforcement Learning
    • Common Machine Learning Algorithms
    • Data Preprocessing for AI Models
    • Overfitting & Underfitting in AI Models

    Deep Learning & Neural Networks

    • Introduction to Neural Networks
    • Understanding Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs) & Natural Language Processing (NLP)
    • Generative AI & Large Language Models (GPT, DALL·E)

    AI Programming & Tools

    • Introduction to Python for AI (NumPy, Pandas)
    • AI Frameworks: TensorFlow & PyTorch
    • Building & Training AI Models
    • Deploying AI Models in Real Applications

    AI in Automation & Robotics

    • AI-Powered Robotics & Autonomous Systems
    • AI in Manufacturing & Smart Factories
    • AI in Agriculture (Precision Farming & Drones)

    AI Ethics & Future Trends

    • Bias in AI & Ethical Challenges
    • AI & Job Market: Threats & Opportunities
    • Future of AI: AGI, Quantum AI, and Beyond

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