Mastering Artificial Intelligence

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Prashant Mishra

12:41:09

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1 - 1 Introduction to Artificial Intelligence

1 - Codes-20230823T070954Z-001.zip

1 - Introduction to AI.mp4

17:20

1 - Ppts-20230823T071019Z-001.zip

2 - History and Types of AI.mp4

18:09

3 - Application of AI.mp4

14:07

4 - Ethical Considerations in AI.mp4

13:02

2 - Machine Learning Fundamentals

5 - Machine Learning fundamentals.mp4

20:35

6 - ML Data Pre ProcessingLab session.mp4

28:55

7 - Evaluation Metrics.mp4

09:09

8 - Machine Learning Types Supervised machine learning algorithms.mp4

18:26

9 - Model Based on Linear Regression Lab Session.mp4

17:43

10 - Supervised machine learning algorithms.mp4

24:52

11 - Comparing Classification Algorithms.mp4

29:22

12 - Unsupervised learning.mp4

13:12

13 - KMeans clustering Model.mp4

15:56

3 - Deep learning

14 - Deep Learning and Neural Networks Introduction.mp4

10:16

15 - Deep Learning and Neural Networks Introduction Part2.mp4

16:21

16 - Artificial Neural Networks Model.mp4

27:27

17 - Convolutional neural networks.mp4

12:44

18 - CNN for Image Classification.mp4

33:22

19 - Recurrent neural networks.mp4

11:34

20 - RNN Sun Spot Model.mp4

31:18

4 - 4 Natural Language Processing NLP

21 - Natural Language Processing Introduction.mp4

19:53

22 - Text Pre Processing.mp4

15:35

23 - Text Preprocessing Model.mp4

23:59

24 - Sentiment Analysis.mp4

19:09

25 - Language modeling and generation.mp4

10:27

26 - Sentiment analysis Model.mp4

37:05

5 - Computer Vision

27 - Computer Vision Introduction.mp4

13:56

28 - Image Processing.mp4

13:48

29 - Feature Extraction.mp4

06:33

30 - Object Detection.mp4

12:43

31 - Image Segmentation.mp4

09:08

32 - Image Segmentation Process Image Classification.mp4

21:21

33 - Face Mask Detection Model.mp4

46:29

6 - Reinforcement Learning

34 - Introduction to Reinforcement learning.mp4

41:01

35 - Reinforcement Learning Algorithms.mp4

12:02

36 - Reinforcement Learning Model.mp4

15:32

7 - Capstone Project

37 - Capstone Project Heart Disease Prediction Model.mp4

58:38

Description

Your Complete Guide to Artificial Intelligence

What You'll Learn?

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.

Who is this for?

Beginners in AI: Individuals who are entirely new to the field of AI and want to explore its fundamental concepts and practical applications will benefit from this course. We provide a solid foundation for those with no prior experience.

Students: High school students, college undergraduates, and postgraduates pursuing degrees in computer science, data science, engineering, or related fields can use this course to supplement their academic knowledge and gain hands-on experience in AI.

Professionals Seeking Career Advancement: Working professionals looking to transition into AI-related roles or enhance their existing skill set will find this course valuable. It provides practical insights and hands-on experience applicable to various industries.

Entrepreneurs and Innovators: Individuals interested in creating AI-powered solutions, startups, or tech innovations will gain a strong foundation in AI concepts and techniques to bring their ideas to life.

Data Enthusiasts: Anyone passionate about data analysis, machine learning, or data-driven decision-making can use this course to acquire the skills needed to work with AI and machine learning technologies.

AI Enthusiasts: Those with a general interest in AI, robotics, and automation can satisfy their curiosity by gaining a comprehensive understanding of AI's principles and real-world applications.

Lifelong Learners: Individuals who are lifelong learners eager to explore cutting-edge technologies and stay up-to-date with the latest advancements in AI and machine learning will find this course engaging and informative.

This course is designed to be inclusive, with content structured to accommodate learners at different levels of expertise. Whether you're a complete novice or someone looking to deepen your knowledge in AI, our course provides a flexible learning path to meet your needs and interests.

What You Need to Know?

Learners should be comfortable using a computer and common software applications.

While not mandatory, a basic understanding of algebra and problem-solving skills can be helpful in grasping some AI and machine learning concepts.

Familiarity with programming basics is beneficial, but the course will provide introductory materials for those with limited programming experience.

Participants should have access to a computer or laptop with an internet connection to access course materials, online resources, and programming tools.

A code editor or integrated development environment (IDE) for Python, such as Jupyter Notebook or Visual Studio Code, is recommended.

A modern web browser is necessary for accessing online resources and course materials.

The course is designed to be accessible to beginners, and participants will receive guidance and support to help them build the necessary skills and knowledge.

More details

Description

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.

Who this course is for:
Beginners in AI: Individuals who are entirely new to the field of AI and want to explore its fundamental concepts and practical applications will benefit from this course. We provide a solid foundation for those with no prior experience.
Students: High school students, college undergraduates, and postgraduates pursuing degrees in computer science, data science, engineering, or related fields can use this course to supplement their academic knowledge and gain hands-on experience in AI.
Professionals Seeking Career Advancement: Working professionals looking to transition into AI-related roles or enhance their existing skill set will find this course valuable. It provides practical insights and hands-on experience applicable to various industries.
Entrepreneurs and Innovators: Individuals interested in creating AI-powered solutions, startups, or tech innovations will gain a strong foundation in AI concepts and techniques to bring their ideas to life.
Data Enthusiasts: Anyone passionate about data analysis, machine learning, or data-driven decision-making can use this course to acquire the skills needed to work with AI and machine learning technologies.
AI Enthusiasts: Those with a general interest in AI, robotics, and automation can satisfy their curiosity by gaining a comprehensive understanding of AI's principles and real-world applications.
Lifelong Learners: Individuals who are lifelong learners eager to explore cutting-edge technologies and stay up-to-date with the latest advancements in AI and machine learning will find this course engaging and informative.
This course is designed to be inclusive, with content structured to accommodate learners at different levels of expertise. Whether you're a complete novice or someone looking to deepen your knowledge in AI, our course provides a flexible learning path to meet your needs and interests.

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Artificial Intelligence

Prashant Mishra

Instructor's Courses

I am Computer Science Graduate in 2021 and with a passion for teaching, started back as a BDA in various Ed-tech companies, which increased a little more passion towards this industry to explore.Have trained more than 5000+ Individual students one-on-one and group-based, which not only found my classes very interesting but also developed a huge scope of job opportunities in the future.

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