Development100% OFF

دورة ماجستير في هندسة الذكاء الاصطناعي

Udemy Instructor

0(19.2K students)

Self-paced

All Levels

About this course

مرحبًا بك في دورة "هندسة الذكاء الاصطناعي الشاملة: من الصفر إلى بطل الذكاء الاصطناعي"! هذه الدورة المتكاملة في الذكاء الاصطناعي مصممة لتأخذك في رحلة مثيرة تبدأ من مبتدئ في الذكاء الاصطناعي لتصبح مهندسًا واثقًا، مجهزًا بالمهارات اللازمة لبناء وتدريب ونشر حلول ذكاء اصطناعي قابلة للتطبيق في الواقع. سواء كنت تبدأ من الصفر أو ترغب في ترسيخ معرفتك بالذكاء الاصطناعي، فهذه الدورة تقدم لك خارطة طريق منظمة للنجاح خطوة بخطوة.

في هذه الدورة، ستبدأ بأساسيات الذكاء الاصطناعي، من خلال تعلم برمجة Python، معالجة البيانات، ومبادئ التعلم الآلي. ومع تقدمك، ستغوص في موضوعات متقدمة مثل الشبكات العصبية، التعلم العميق، معالجة اللغة الطبيعية (NLP)، ورؤية الحاسوب. كما ستحصل على خبرة عملية باستخدام أطر العمل المتقدمة مثل TensorFlow، PyTorch، وHugging Face لتطوير حلول ذكاء اصطناعي جاهزة للإنتاج.

تركّز هذه الدورة على المهارات العملية، حيث يتضمن كل قسم مشروعًا واقعيًا يساعدك في تطبيق ما تعلمته. ستتعلم كيف تواجه تحديات الأعمال باستخدام تقنيات الذكاء الاصطناعي، وتحسّن نماذجك، وتنشر حلولًا قابلة للتوسيع. لماذا تختار دورة هندسة الذكاء الاصطناعي؟منهج مناسب للمبتدئين: ابدأ من الصفر وتطور حتى تصبح خبيرًامشاريع تطبيقية عملية: أنشئ تطبيقات ذكاء اصطناعي لحلول حقيقيةإتقان أطر العمل الرئيسية: تعلّم TensorFlow، PyTorch، وHugging Faceتدريب شامل: يشمل Python، التعلم الآلي، التعلم العميق، NLP ونشر النماذجخارطة طريق من الصفر إلى الاحتراف: مسار تعليمي منظم لتحقيق التميز في هندسة الذكاء الاصطناعيبنهاية هذه الدورة، لن تكون فقط قد أتقنت مهارات الذكاء الاصطناعي، بل ستكون مؤهلًا للابتكار، وقيادة المشاريع، وإحداث التغيير من خلال حلول AI داخل مؤسستك أو مشروعك الناشئ.

سواء كنت مهندسًا طموحًا، أو شغوفًا بالذكاء الاصطناعي، أو تتطلع لدخول هذا المجال المتسارع، فهذه الدورة هي دليلك الشامل للانتقال "من الصفر إلى بطل الذكاء الاصطناعي". انضم لثورة الذكاء الاصطناعي اليوم – وسجل في دورة هندسة الذكاء الاصطناعي الشاملة: من الصفر إلى بطل الذكاء الاصطناعي، وابدأ أول خطوة نحو إتقان هذا المجال!

Skills you'll gain

Data ScienceArabic

Available Coupons

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
♾️Lifetime access

$0$101.99

Save $101.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/6584537

Are you ready to learn on a journey into the captivating world of machine learning using Python? Welcome to "Machine Learning - Fundamentals of Python Machine Learning," your gateway to understanding and applying the core principles of machine learning.Machine learning is transforming industries, from healthcare to finance, and Python is at the forefront of this revolution. Whether you're a budding data scientist, aspiring machine learning engineer, or simply curious about the potential of AI, this course will equip you with the foundational knowledge and practical skills to harness the power of Python for machine learning.Key Learning Objectives:Introduction to Machine Learning: Get a comprehensive overview of machine learning, its significance, and the Python ecosystem's role in the field.Python for Machine Learning: Learn the basics of Python programming, data structures, and libraries essential for machine learning.Model Evaluation and Selection: Discover techniques for evaluating machine learning models and selecting the best model for your tasks.Feature Engineering: Master the art of feature selection and engineering to enhance the performance of your machine learning models.Why Choose This Course?Comprehensive Curriculum: This course is designed to take you from a machine learning novice to a proficient practitioner, ensuring you have a deep understanding of the fundamentals.Hands On Learning: Practice your skills with coding exercises, hands-on projects, and machine learning challenges that replicate real-world scenarios.Expert Instruction: Benefit from the guidance of experienced instructors who have worked on machine learning projects and are passionate about sharing their knowledge.Lifetime Access: Enroll once and have lifetime access to the course materials, ensuring your skills stay up to date with the latest developments in machine learning.Unlock the potential of Python in the world of machine learning. Enroll today in "Machine Learning - Fundamentals of Python Machine Learning" and acquire the knowledge and skills you need to excel in the exciting field of machine learning. Don't miss this opportunity to become a proficient machine learning practitioner. Your journey to mastering machine learning with Python starts now!

Full Stack AI Engineer 2026 - Deep Learning - II

Udemy Instructor

“This course contains the use of artificial intelligence”Deep learning is no longer just a research skill — it is a core engineering competency. This course, Deep Learning Foundations for AI Engineers, is designed to take you beyond theory and help you build, train, debug, and manage deep learning systems the way real AI engineers do.You’ll start by developing a strong conceptual foundation in neural networks, understanding how artificial neurons, forward propagation, activation functions, and loss functions work together to enable learning. Rather than memorizing formulas, you’ll build intuition through visual explanations and code-driven demonstrations.From there, you’ll move into training deep neural networks using PyTorch, learning critical skills such as gradient descent, backpropagation, optimizer selection, and learning rate tuning. You’ll understand why models fail, how overfitting happens, and how to apply regularization techniques like L1/L2 penalties, dropout, and batch normalization to improve generalization.This course is highly hands-on. You’ll implement:A neural network from scratchEnd-to-end training pipelinesFully connected networks using real datasetsImage classification models with CNNsSequence prediction models using RNNs, LSTMs, and GRUsYou’ll also develop a strong engineering mindset by learning model saving, loading, and versioning, experiment reproducibility, debugging deep learning models, and monitoring training and validation curves — skills that are essential in production environments, not just notebooks.By the end of the course, you won’t just “know deep learning” — you’ll think and work like a deep learning engineer, capable of building scalable, reproducible, and production-ready AI systems.

Mastering Claude AI: Build AI Apps, Agents & MCP Systems

Udemy Instructor

“This course contains the use of artificial intelligence”Artificial Intelligence is transforming how we build software, automate workflows, and solve complex problems. Modern Large Language Models (LLMs) such as Claude AI are enabling developers, entrepreneurs, and professionals to create intelligent systems that can reason, analyze information, generate content, and automate real-world tasks.This comprehensive course will teach you how to master Claude AI and build real AI-powered systems, from basic prompting to advanced AI application development, AI agents, and Model Context Protocol (MCP) integrations.You will start by understanding the fundamentals of Artificial Intelligence, Large Language Models, and how Claude AI works. Then you will progressively learn how to use Claude effectively through prompt engineering, productivity workflows, and responsible AI practices.As the course advances, you will move into developer-level skills, including using the Claude API, building AI-powered applications, and integrating Claude Code into modern development environments.A major part of this program focuses on building real AI systems, including:AI productivity assistantsAI coding assistantsknowledge management systemsautonomous AI agentsYou will also learn how to design advanced AI architectures, including multi-agent systems, AI memory systems, and scalable AI infrastructure.The course introduces one of the most important emerging standards in AI development: Model Context Protocol (MCP). You will learn how MCP enables AI systems to connect with tools, data sources, and services to create powerful AI ecosystems.Beyond technical development, the course also teaches AI fluency, including human-AI collaboration, AI governance, and how organizations are becoming AI-native companies.By the end of the course, you will understand how to design, build, deploy, and manage production-ready AI systems using Claude AI.This course is designed for developers, professionals, and anyone who wants to become an AI systems builder in the era of intelligent automation.

3.9•2.4K•Self-paced

FREE$99.99

Enroll

دورة ماجستير في هندسة الذكاء الاصطناعي

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

Machine Learning - Fundamental of Python Machine Learning

Full Stack AI Engineer 2026 - Deep Learning - II

Mastering Claude AI: Build AI Apps, Agents & MCP Systems

دورة ماجستير في هندسة الذكاء الاصطناعي

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

Machine Learning - Fundamental of Python Machine Learning

Full Stack AI Engineer 2026 - Deep Learning - II

Mastering Claude AI: Build AI Apps, Agents & MCP Systems