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These are the most popular courses among listen courses learners worldwide

Beginner

Foundations of Artificial Intelligence (Beginner)

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This course provides an accessible introduction to Artificial Intelligence (AI) for beginners. It covers the basics of AI, its applications, and its impact across industries such as healthcare, finance, and transportation. Learners will explore key concepts like machine learning, data, and neural networks while understanding the ethical challenges AI presents. Through interactive lessons, hands-on exercises, and real-world examples, participants will gain foundational knowledge and practical skills to embark on their AI journey confidently. Perfect for anyone curious about the transformative power of AI!

Free

50:00:00.000000 Hours

Last updated Thu, 16-Jan-2025

10 Lessons 50:00:00.000000 Hours English
This course provides an accessible introduction to Artificial Intelligence (AI) for beginners. It covers the basics of AI, its applications, and its impact across industries such as healthcare, finance, and transportation. Learners will explore key concepts like machine learning, data, and neural networks while understanding the ethical challenges AI presents. Through interactive lessons, hands-on exercises, and real-world examples, participants will gain foundational knowledge and practical skills to embark on their AI journey confidently. Perfect for anyone curious about the transformative power of AI!
Outcomes:
  • Clearly define Artificial Intelligence and its key subfields, such as machine learning, natural language processing (NLP), and computer vision.
  • Clearly define Artificial Intelligence and its key subfields, such as machine learning, natural language processing (NLP), and computer vision.
  • Recognize how AI is transforming industries, including healthcare, finance, retail, and transportation.
  • Learn to analyze and manipulate datasets using Python libraries like NumPy and Pandas.

Beginner

Deep Learning Essentials

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Deep Learning is a subset of Artificial Intelligence that mimics the way humans learn and process information using neural networks. This course dives into the foundational principles and practical applications of deep learning, enabling learners to build and train powerful models for tasks like image recognition, natural language processing, and more. Designed for those with basic knowledge of AI and programming, this course provides hands-on experience with frameworks like TensorFlow and PyTorch.

Free

Hours

Last updated Wed, 05-Feb-2025

6 Lessons Hours English
Deep Learning is a subset of Artificial Intelligence that mimics the way humans learn and process information using neural networks. This course dives into the foundational principles and practical applications of deep learning, enabling learners to build and train powerful models for tasks like image recognition, natural language processing, and more. Designed for those with basic knowledge of AI and programming, this course provides hands-on experience with frameworks like TensorFlow and PyTorch.
Outcomes:

Beginner

Machine Learning Fundamentals

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This course is a comprehensive, hands-on exploration of machine learning, designed to equip you with the essential skills and practical experience required to excel in today’s data-driven world. Throughout this journey, you will delve into the transformative realm of artificial intelligence, beginning with a solid introduction to the core concepts of machine learning, including supervised, unsupervised, and reinforcement learning. You will learn how to transform raw data into actionable insights through meticulous data preprocessing and feature engineering, and gain expertise in building predictive models using both regression and classification techniques. The curriculum further explores unsupervised learning methods like clustering and dimensionality reduction, empowering you to uncover hidden patterns in data. As you progress, the course unveils the fascinating world of neural networks and deep learning, laying the groundwork for understanding advanced AI systems that drive innovations in image recognition, natural language processing, and autonomous systems. Whether you are a beginner or looking to deepen your expertise, this course offers engaging lectures, practical projects, and real-world applications that bridge the gap between theory and practice. Join us at Soliel AI to transform your understanding of machine learning into the capability to build and deploy robust AI models that can solve complex problems and drive future innovations.

Free

Hours

Last updated Wed, 05-Feb-2025

6 Lessons Hours English
This course is a comprehensive, hands-on exploration of machine learning, designed to equip you with the essential skills and practical experience required to excel in today’s data-driven world. Throughout this journey, you will delve into the transformative realm of artificial intelligence, beginning with a solid introduction to the core concepts of machine learning, including supervised, unsupervised, and reinforcement learning. You will learn how to transform raw data into actionable insights through meticulous data preprocessing and feature engineering, and gain expertise in building predictive models using both regression and classification techniques. The curriculum further explores unsupervised learning methods like clustering and dimensionality reduction, empowering you to uncover hidden patterns in data. As you progress, the course unveils the fascinating world of neural networks and deep learning, laying the groundwork for understanding advanced AI systems that drive innovations in image recognition, natural language processing, and autonomous systems. Whether you are a beginner or looking to deepen your expertise, this course offers engaging lectures, practical projects, and real-world applications that bridge the gap between theory and practice. Join us at Soliel AI to transform your understanding of machine learning into the capability to build and deploy robust AI models that can solve complex problems and drive future innovations.
Outcomes:
  • Upon completing the Machine Learning Fundamentals course with Soliel AI, you will possess a comprehensive understanding of both theoretical and practical aspects of machine learning. You will be capable of preparing and transforming raw data into actionable insights through robust data preprocessing and feature engineering techniques, ensuring that datasets are optimized for model building. You will have the skills to design, implement, and evaluate supervised learning models—both for regression tasks, where you predict continuous values, and classification tasks, where you categorize data into distinct classes—using industry-standard algorithms and metrics. In addition, you will be adept at applying unsupervised learning techniques, enabling you to uncover hidden patterns and reduce the complexity of high-dimensional data through clustering and dimensionality reduction. Furthermore, you will gain foundational expertise in neural networks and deep learning, allowing you to develop models that can recognize complex patterns, such as handwritten digits, and prepare you for more advanced applications in artificial intelligence. Overall, the course will equip you with the technical proficiency, analytical mindset, and hands-on experience necessary to tackle real-world challenges, making you a valuable contributor to any data-driven organization.

Top 10 Latest courses

These are the most latest courses among listen courses learners worldwide

Beginner

Machine Learning Fundamentals

0

(0 Reviews)

Compare

This course is a comprehensive, hands-on exploration of machine learning, designed to equip you with the essential skills and practical experience required to excel in today’s data-driven world. Throughout this journey, you will delve into the transformative realm of artificial intelligence, beginning with a solid introduction to the core concepts of machine learning, including supervised, unsupervised, and reinforcement learning. You will learn how to transform raw data into actionable insights through meticulous data preprocessing and feature engineering, and gain expertise in building predictive models using both regression and classification techniques. The curriculum further explores unsupervised learning methods like clustering and dimensionality reduction, empowering you to uncover hidden patterns in data. As you progress, the course unveils the fascinating world of neural networks and deep learning, laying the groundwork for understanding advanced AI systems that drive innovations in image recognition, natural language processing, and autonomous systems. Whether you are a beginner or looking to deepen your expertise, this course offers engaging lectures, practical projects, and real-world applications that bridge the gap between theory and practice. Join us at Soliel AI to transform your understanding of machine learning into the capability to build and deploy robust AI models that can solve complex problems and drive future innovations.

Free

Hours

Last updated Wed, 05-Feb-2025

6 Lessons Hours English
This course is a comprehensive, hands-on exploration of machine learning, designed to equip you with the essential skills and practical experience required to excel in today’s data-driven world. Throughout this journey, you will delve into the transformative realm of artificial intelligence, beginning with a solid introduction to the core concepts of machine learning, including supervised, unsupervised, and reinforcement learning. You will learn how to transform raw data into actionable insights through meticulous data preprocessing and feature engineering, and gain expertise in building predictive models using both regression and classification techniques. The curriculum further explores unsupervised learning methods like clustering and dimensionality reduction, empowering you to uncover hidden patterns in data. As you progress, the course unveils the fascinating world of neural networks and deep learning, laying the groundwork for understanding advanced AI systems that drive innovations in image recognition, natural language processing, and autonomous systems. Whether you are a beginner or looking to deepen your expertise, this course offers engaging lectures, practical projects, and real-world applications that bridge the gap between theory and practice. Join us at Soliel AI to transform your understanding of machine learning into the capability to build and deploy robust AI models that can solve complex problems and drive future innovations.
Outcomes:
  • Upon completing the Machine Learning Fundamentals course with Soliel AI, you will possess a comprehensive understanding of both theoretical and practical aspects of machine learning. You will be capable of preparing and transforming raw data into actionable insights through robust data preprocessing and feature engineering techniques, ensuring that datasets are optimized for model building. You will have the skills to design, implement, and evaluate supervised learning models—both for regression tasks, where you predict continuous values, and classification tasks, where you categorize data into distinct classes—using industry-standard algorithms and metrics. In addition, you will be adept at applying unsupervised learning techniques, enabling you to uncover hidden patterns and reduce the complexity of high-dimensional data through clustering and dimensionality reduction. Furthermore, you will gain foundational expertise in neural networks and deep learning, allowing you to develop models that can recognize complex patterns, such as handwritten digits, and prepare you for more advanced applications in artificial intelligence. Overall, the course will equip you with the technical proficiency, analytical mindset, and hands-on experience necessary to tackle real-world challenges, making you a valuable contributor to any data-driven organization.

Beginner

Deep Learning Essentials

0

(0 Reviews)

Compare

Deep Learning is a subset of Artificial Intelligence that mimics the way humans learn and process information using neural networks. This course dives into the foundational principles and practical applications of deep learning, enabling learners to build and train powerful models for tasks like image recognition, natural language processing, and more. Designed for those with basic knowledge of AI and programming, this course provides hands-on experience with frameworks like TensorFlow and PyTorch.

Free

Hours

Last updated Wed, 05-Feb-2025

6 Lessons Hours English
Deep Learning is a subset of Artificial Intelligence that mimics the way humans learn and process information using neural networks. This course dives into the foundational principles and practical applications of deep learning, enabling learners to build and train powerful models for tasks like image recognition, natural language processing, and more. Designed for those with basic knowledge of AI and programming, this course provides hands-on experience with frameworks like TensorFlow and PyTorch.
Outcomes:

Beginner

Foundations of Artificial Intelligence (Beginner)

0

(0 Reviews)

Compare

This course provides an accessible introduction to Artificial Intelligence (AI) for beginners. It covers the basics of AI, its applications, and its impact across industries such as healthcare, finance, and transportation. Learners will explore key concepts like machine learning, data, and neural networks while understanding the ethical challenges AI presents. Through interactive lessons, hands-on exercises, and real-world examples, participants will gain foundational knowledge and practical skills to embark on their AI journey confidently. Perfect for anyone curious about the transformative power of AI!

Free

50:00:00.000000 Hours

Last updated Thu, 16-Jan-2025

10 Lessons 50:00:00.000000 Hours English
This course provides an accessible introduction to Artificial Intelligence (AI) for beginners. It covers the basics of AI, its applications, and its impact across industries such as healthcare, finance, and transportation. Learners will explore key concepts like machine learning, data, and neural networks while understanding the ethical challenges AI presents. Through interactive lessons, hands-on exercises, and real-world examples, participants will gain foundational knowledge and practical skills to embark on their AI journey confidently. Perfect for anyone curious about the transformative power of AI!
Outcomes:
  • Clearly define Artificial Intelligence and its key subfields, such as machine learning, natural language processing (NLP), and computer vision.
  • Clearly define Artificial Intelligence and its key subfields, such as machine learning, natural language processing (NLP), and computer vision.
  • Recognize how AI is transforming industries, including healthcare, finance, retail, and transportation.
  • Learn to analyze and manipulate datasets using Python libraries like NumPy and Pandas.

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