Udemy

Mastering Artificial Intelligence

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  • 1,140 名學生
  • 更新於 10/2023
  • 可獲發證書
4.7
(396 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
12 小時 41 分鐘
教學語言
英語
授課導師
Selfcode Academy
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.7
(396 個評分)
5次瀏覽

課程簡介

Mastering Artificial Intelligence

Your Complete Guide to Artificial Intelligence


** Mastering Artificial Intelligence: Your Ultimate Guide to AI **


Welcome to Selfcode Academy's comprehensive AI course! Whether you're a beginner or a seasoned tech enthusiast, this program is designed to empower you with the skills and knowledge needed to excel in the exciting world of Artificial Intelligence.



Who Can Benefit:

  • Beginners: No prior AI experience required! This course is perfect for those embarking on their AI journey.

  • Students: Whether you're in high school, college, or pursuing graduate studies, this course complements your academic pursuits.

  • Professionals: Looking to boost your career prospects? Transitioning to AI from another field? No problem! This course is tailored for you.

  • Tech Innovators: Entrepreneurs and visionaries, get ready to turn your AI concepts into reality.

  • Data Enthusiasts: If you're passionate about data and want to harness its potential with AI, this course is your gateway.

  • Lifelong Learners: Stay updated with the latest AI advancements and become part of the tech-savvy community.



Course Highlights:

Module 1: Introduction to AI

  • Define AI and uncover its fascinating history.

  • Explore AI's impact in healthcare, finance, and various industries.

  • Delve into crucial ethical considerations in AI.

Module 2: Machine Learning Fundamentals

  • Learn to make predictions and categorize data through supervised learning.

  • Discover patterns in unlabeled data using unsupervised learning.

  • Evaluate model performance using essential metrics like accuracy, precision, and recall.

Module 3: Deep Learning and Neural Networks

  • Grasp the intricacies of artificial neural networks (ANNs).

  • Dive into feedforward neural networks, activation functions, and their applications.

  • Get hands-on experience with convolutional and recurrent neural networks (CNNs and RNNs).

Module 4: Natural Language Processing (NLP)

  • Prepare text data for analysis with advanced preprocessing techniques.

  • Perform sentiment analysis and text classification.

  • Generate coherent text using cutting-edge AI models.

Module 5: Computer Vision

  • Master image processing techniques and feature extraction.

  • Detect objects and segment images effectively.

  • Leverage CNNs for image classification.

Module 6: Reinforcement Learning

  • Explore the foundations of reinforcement learning and Markov Decision Processes (MDPs).

  • Implement Q-learning and value iteration algorithms to solve complex problems.

Module 7: Capstone Project

  • Apply your newfound AI expertise to solve real-world challenges.


Embark on this thrilling AI adventure with us! Our hands-on projects, clear explanations, and supportive community will boost your confidence to tackle AI challenges and contribute to the future of technology. Start your journey to AI mastery today!


* All the resource files are added in video 1 of section 1.


課程章節

  • 7 個章節
  • 37 堂課
  • 第 1 章 Introduction to Artificial Intelligence
  • 第 2 章 Machine Learning Fundamentals
  • 第 3 章 Deep learning
  • 第 4 章 Natural Language Processing (NLP)
  • 第 5 章 Computer Vision
  • 第 6 章 Reinforcement Learning
  • 第 7 章 Capstone Project

課程內容

  • Students will develop a solid understanding of the definition and historical evolution of AI.
  • Students will see how AI technologies are transforming industries and solving complex problems.
  • Students will explore the responsibilities associated with AI technologies, including topics like bias, fairness, transparency, and privacy.
  • This course will equip students with essential machine learning skills, including supervised learning techniques for prediction and classification.
  • Students will gain a comprehensive understanding of deep learning, including the principles and techniques behind artificial neural networks.
  • Students will learn how feedforward neural networks work and how they can be used for various AI tasks.
  • Students will explore different activation functions used in neural networks and understand their role in modeling complex data.
  • Students will learn how CNNs are used for image recognition and processing.
  • Students will understand how RNNs can be applied to tasks involving sequences, such as natural language processing and time series analysis.
  • Students will engage in a hands-on capstone project. This project will require them to apply the concepts they have learned to solve real-world AI challenges.


評價

  • s
    shubh
    5.0

    Its well framed course, with all concepts covered from basics. The best part is it gets more interesting step by step.

  • h
    harsh
    5.0

    This course is well-structured and easy to understand..

  • K
    Karl
    5.0

    This course is just the complete package. Great job

  • k
    kabir
    5.0

    This course was clear, well-paced, and full of real-world examples.

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