The Training Program Includes:
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Introduction to Artificial Intelligence and Its History
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Core Concepts: Machine Learning, Deep Learning, and Neural Networks
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Types of AI: Narrow, General, and Super AI
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Data Collection, Preparation, and Cleaning Techniques
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Supervised vs. Unsupervised Learning
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Natural Language Processing (NLP) Basics
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Computer Vision and Image Recognition
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AI in Healthcare, Finance, Education, and More
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Chatbots and Virtual Assistants
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Ethics in AI: Bias, Privacy, and Transparency
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Introduction to AI Programming Tools (Python, TensorFlow, etc.)
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Building and Training Simple AI Models
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Evaluating AI Performance and Accuracy
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Automation and the Future of Work
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Human-AI Collaboration and Augmented Intelligence
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Responsible AI Design and Development
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AI for Decision Support Systems
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Real-World Case Studies and Applications
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AI Trends and Future Opportunities
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Career Paths in AI and Data Science
Lessons: