خطة تعلم الذكاء الإصطناعي - الجزء الثالث

Day 29

Future Applications of GANs and Emerging Trends

Your task today is to understand the following basics:

• Understanding the potential future applications of GANs in fields like AI and machine learning.
• Exploring emerging trends in using GANs and analyzing recent innovations.
• Implementing a research project based on the latest trends in GANs.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 30

Project: Building a Complete GAN Model

Your task today is:

• Build a complete GAN model based on everything you've learned in the previous days.
• Test the model on real data and improve it based on the results.
• Present the project with a detailed report on the model's performance, challenges faced, and how you overcame them.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 31

Introduction to Natural Language Processing (NLP)

Your task today is to understand the following basics:

• What is Natural Language Processing (NLP) and how it is used in educational applications.
• Introduction to NLP libraries like NLTK and SpaCy.
• Understanding how to use NLP for text analysis and sentiment analysis.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 32

Building a Recommendation System Using AI

Your task today is to understand the following basics:

• What is a recommendation system and how it can improve user experience in educational platforms.
• Understanding collaborative filtering algorithms and other types of recommendations.
• Implementing a simple recommendation system using TensorFlow.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 33

Unsupervised Learning

Your task today is to understand the following basics:

• What is unsupervised learning and how it differs from supervised learning.
• Introduction to clustering algorithms like K-Means.
• Applying unsupervised learning to classify educational data.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 34

Designing an Adaptive Learning System

Your task today is to understand the following basics:

• What is an adaptive learning system and how it adapts educational content to each student's needs.
• Understanding personalization algorithms and how to apply them in education.
• Implementing an educational model that automatically adapts to student performance.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 35

Reinforcement Learning

Your task today is to understand the following basics:

• What is reinforcement learning and how it differs from supervised and unsupervised learning.
• Understanding how to apply reinforcement learning in building adaptive educational systems.
• Building a simple reinforcement learning model using the OpenAI Gym library.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 36

Ethics in Artificial Intelligence (AI Ethics)

Your task today is to understand the following basics:

• What are the ethical principles in AI and how they impact the development of intelligent systems.
• Understanding issues of privacy, transparency, and fairness in AI.
• How to build AI-driven educational systems that adhere to ethical standards and respect user rights.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 37

AI Applications in Personalized Education

Your task today is to understand the following basics:

• How to use AI to provide personalized education that fits each student's needs.
• Understanding the role of AI in enhancing the learning experience for students.
• Building a smart API that interacts with students based on their performance and behavior.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 38

Managing and Analyzing Big Data in Education

Your task today is to understand the following basics:

• What is Big Data and how it is used in the educational field.
• Learning common tools for analyzing big data like Apache Hadoop and Apache Spark.
• Implementing educational data analysis using big data tools to extract insights on student performance.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 39

Enhancing Educational Websites Using Deep Learning

Your task today is to understand the following basics:

• Understanding how deep learning can be used to enhance user experience on educational websites.
• Learning about deep learning applications in content personalization.
• Building a deep learning model to analyze student performance and provide personalized educational suggestions.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.

Day 40

Final Project: Designing an AI-Driven Educational Website

Your task today is:

• Apply everything you've learned to build an educational website that uses AI to provide personalized content for each student.
• Develop features such as a recommendation system, student performance analysis, and personalized learning experience.
• Present the final project with a complete explanation of how AI was used to enhance the educational experience.

Record a YouTube video that is public and accessible to everyone.

Explain what you learned today. Remember, teaching others helps you better understand the topic.

Don’t worry about mistakes; everyone learns from experience.

The goal is to provide the best explanation you can and improve day by day.

Write a daily report covering what you learned and the sources you used.

Attach the link to the video you recorded and send it via email to menna@gammal.tech.

Make sure the report includes the key points you explained in the video.