AI Fundamentals – Getting Started With Artificial Intelligence

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About Course

The “Fundamentals of AI” course is your entry point into the exciting world of artificial intelligence. This comprehensive course introduces the core concepts and practical applications of AI, making it accessible for learners at all levels.

You’ll start with an overview of AI, exploring its different types—narrow AI, general AI, and superintelligent AI—and their applications across various industries.

As you progress, you’ll dive into key programming languages and tools like Python, R, TensorFlow, and cloud-based AI services. These skills will enable you to create machine-learning models, implement deep-learning algorithms, and work with data science fundamentals, including data preparation, exploratory data analysis (EDA), and data visualization techniques.

The course also provides a deep dive into AI’s role in the modern workplace, focusing on business intelligence, automation, workflow management, and natural language processing (NLP). You’ll learn how AI enhances efficiency, supports decision-making, and drives innovation in various industries.

Ethical considerations and emerging trends in AI are covered to ensure you’re prepared for the opportunities and challenges of this rapidly evolving field. Topics include bias, fairness, privacy, security, and the future of AI governance and regulation.

Designed to be both practical and engaging, the course includes hands-on exercises with real-world AI applications. By the end, you’ll be equipped with the knowledge and tools to pursue a rewarding career in AI, solving complex problems and creating innovative solutions.

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What Will You Learn?

  • Introduction to AI: Understanding the basics and types of AI.
  • Programming Languages and Tools: Python, R, TensorFlow, AI services in the cloud.
  • Data Science Fundamentals: Data preparation, exploratory data analysis, data visualization.
  • AI in the Workplace: Business intelligence tools, automation, workflow management, NLP tools.
  • Ethical AI: Bias, fairness, privacy, security considerations.
  • Future Trends: Emerging trends in AI, AI governance, and regulation.

Course Content

Curriculum Outline

  • Welcome
  • Module 1 – Getting Started With AI
  • Module 2 – Programming Languages, Tools and Platforms For AI Solutions
  • Module 3 – Data Science Fundamentals for AI
  • Module 4 – AI In the Modern Workplace
  • Module 5 – Ethical AI and Future Trends
  • Module 6 – Monumental Leaps Forward With AI
  • Module 7 – AI Project Lifecycle Management
  • Module 8 – AI Fundamentals Course Closeout

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