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AI Essentials

AI Essentials

“AI Essentials” is a beginner-friendly course that introduces AI concepts, technologies, and applications.

$90

$99.99
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Has discount
Expiry period 3 Months
Made in English
Last updated at Tue Nov 2024
Level
Beginner
Total lectures 1
Total quizzes 1
Total duration 00:30:00 Hours
Total enrolment 1
Number of reviews 0
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Short description “AI Essentials” is a beginner-friendly course that introduces AI concepts, technologies, and applications.
Outcomes
  • 1. Understand Fundamental Concepts: Demonstrate a solid understanding of basic artificial intelligence (AI) concepts, including its history, primary methodologies, and where AI sits in the broader landscape of computer science.
  • 2. Identify AI Applications: Recognize and articulate the various applications of AI in the modern world, spanning industries such as healthcare, finance, automotive, and entertainment, showcasing the versatility and impact of AI technologies
  • 3. Comprehend Machine Learning Principles: Grasp the core principles of machine learning, including supervised and unsupervised learning, neural networks, and deep learning, and understand how these principles enable AI systems to perform tasks and improve over time.
  • 4. Engage with Ethics and AI: Develop an awareness of the ethical considerations, potential biases, and societal impacts of AI technologies, fostering a responsible mindset towards the development and deployment of AI solutions.
  • 5. Develop Basic AI Solutions: Acquire hands-on experience by engaging in simple projects that involve the design and development of basic AI models, using popular tools and languages like Python, TensorFlow, or PyTorch.
  • 6. Problem-Solving with AI: Apply critical thinking and problem-solving skills to address real-world problems with AI, involving the collection, cleaning, and analysis of data, and implementing AI strategies for effective solutions.
  • 7. Explore Cutting-Edge Trends: Gain insights into the latest trends and emerging technologies in AI, including generative AI, reinforcement learning, and AI in edge computing, preparing for ongoing learning in a rapidly evolving field.
  • 8. Communicate AI Concepts: Build the ability to effectively communicate AI concepts, methodologies, and outcomes to both technical and non-technical audiences, facilitating cross-disciplinary collaboration and innovation.
  • 9. Evaluate AI Technologies: Critically assess and compare AI technologies and frameworks based on factors such as performance, scalability, and ethical implications, guiding informed decision-making in AI projects.
  • 10. Foster Continuous Learning: Cultivate a mindset of continuous learning and curiosity about artificial intelligence and its advancements, recognizing the importance of staying updated with the latest research, tools, and techniques in the AI field. By the end of this course, learners will have a foundational understanding of artificial intelligence, its capabilities, and its implications, equipping them with the knowledge and skills to explore further learning and opportunities in AI.
Requirements
  • Hardware: - A computer with internet access capable of running the necessary software for course exercises (details will be provided in the first module).
  • Software: - Web browser (latest version of Chrome, Firefox, or Safari recommended). - Anaconda Python Distribution or similar (details for installation will be provided).
  • Skills: - No prior programming or AI experience is required. - Basic computer skills and the ability to navigate the internet. - Willingness to engage with mathematical concepts (algebra level).

Welcome to Qsyncl a QQmedia platform, your gateway to mastering future technology. Discover courses in AI, Robotics, and Emerging Tech, designed to equip you with the skills to innovate, create, and lead in a rapidly evolving world.

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