The learning path offers a series of courses designed for App Developers, Machine Learning Engineers, and Data Scientists. These courses delve into advanced topics such as diffusion models for image generation, attention mechanisms, encoder-decoder architectures, Transformer and the creation of image captioning models.
Geliştiriciler için Üretken Yapay Zeka Specialization
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Geliştiriciler için Üretken Yapay Zeka Specialization
Geliştiriciler için Üretken Yapay Zeka Uzmanlığı
Instructor: Google Cloud Training
Included with 
Get in-depth knowledge of a subject
Advanced level
Designed for those already in the industry
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Advanced level
Designed for those already in the industry
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Learn how GenAI models generate data by progressively adding noise and then reversing the process.
Learn how attention mechanisms allow models to focus on relevant parts of input data, improving performance in various tasks.
Learn how to understand the behavior of Machine Learning models using various interpretability techniques and how to build secure AI systems.
Learn how to build AI models that can generate image captions, utilize Vertex AI Studio for generative AI model development.
Overview
Skills you'll gain
- Image Analysis
- Multimodal Prompts
- Artificial Intelligence
- Cloud Security
- Semantic Web
- Machine Learning
- Natural Language Processing
- Google Cloud Platform
- Prompt Patterns
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Ethics
- Generative Model Architectures
- Application Security
- Responsible AI
- Information Privacy
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in Turkish
12 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Google Cloud
Specialization - 10 course series
What you'll learn
Difüzyon modellerinin işleyiş şekli
Difüzyon modellerinin gerçek hayattaki kullanım alanları
Koşulsuz difüzyon modelleri
Difüzyon modellerindeki gelişmeler (metinden görüntü oluşturma)
Skills you'll gain
Category: Generative AI
Category: Google Cloud Platform
Category: Image Analysis
Category: Prompt Engineering
Category: Generative Model Architectures
What you'll learn
Dikkat kavramını ve bu kavramın işleyiş şeklini anlama
Dikkat mekanizmasının makine çevirisine nasıl uygulandığını öğrenme
Skills you'll gain
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Artificial Neural Networks
Category: Text Mining
Category: Deep Learning
Category: Applied Machine Learning
What you'll learn
Kodlayıcı-kod çözücü mimarisinin ana bileşenlerini anlama
Kodlayıcı-kod çözücü mimarisini kullanarak model eğitmeyi ve modelden metin üretmeyi öğrenme
Keras'ta kendi kodlayıcı-kod çözücü modelinizi yazmayı öğrenme
Skills you'll gain
Category: Deep Learning
Category: Natural Language Processing
Category: Tensorflow
Category: Keras (Neural Network Library)
Category: Text Mining
Category: Applied Machine Learning
Category: Generative Model Architectures
Category: Machine Learning Methods
Category: Artificial Neural Networks
What you'll learn
Dönüştürücü mimarisinin ana bileşenlerini anlama
BERT modelinin dönüştürücü kullanılarak nasıl oluşturulduğunu öğrenme
Çeşitli doğal dil işleme (NLP) görevlerini yerine getirmek için BERT'i kullanma
Skills you'll gain
Category: Natural Language Processing
Category: Large Language Modeling
Category: Generative Model Architectures
Category: LLM Application
What you'll learn
Görüntülere altyazı ekleme modelinin farklı bileşenlerini anlama
Görüntülere altyazı ekleme modelini eğitme ve değerlendirmeyi öğrenme
Kendi görüntülere altyazı ekleme modellerinizi oluşturma
Görüntülere altyazı ekleme modellerinizi kullanarak görüntülere altyazı oluşturma
Skills you'll gain
Category: Deep Learning
Category: Generative AI
Category: Applied Machine Learning
Category: Computer Vision
Category: Generative Model Architectures
Category: Image Analysis
What you'll learn
İlk istemden son ürüne uzanan yaşam döngüsünü Vertex AI Studio ile açıklama
Çoklu format destekli Gemini özellikleriyle bir üretken yapay zeka uygulamasının prototopini oluşturma
Yapılandırmaları uygulayıp en iyi uygulamaları dikkate alarak etkili istemler tasarlama
Çeşitli yöntemleri kullanarak üretken yapay zeka modellerini ayarlama
Skills you'll gain
Category: Prompt Engineering
Category: Generative AI
Category: Google Gemini
Category: Prompt Patterns
Category: AI Product Strategy
Category: Multimodal Prompts
Category: Google Cloud Platform
What you'll learn
Vektör aramasıyla ilgili süreçleri ve temel teknolojileri açıklama
Vertex AI Vector Search ile vektör yerleştirmelerini kullanarak semantik arama oluşturma
Yapay zeka halüsinasyonlarını en aza indirmek için temellendirilmiş temsilcileri ve veriyle artırılmış üretimi (RAG) keşfetme
Vertex AI Vector Search ile karma arama motoru oluşturma
Skills you'll gain
Category: Artificial Intelligence
Category: Semantic Web
Category: Prompt Engineering Tools
Category: LLM Application
Category: Generative AI
Category: Natural Language Processing
Category: Algorithms
Category: Web Analytics and SEO
Category: Google Cloud Platform
What you'll learn
Sorumlu yapay zekayı tanımlama
Google'ın yapay zeka ilkelerini öğrenme
Yapay zeka açısından adalet ve önyargının ne anlama geldiğini açıklama
Veri ve modelleme aracılığıyla önyargıların nasıl tespit edileceğini ve azaltılacağını açıklama
Skills you'll gain
Category: Data Ethics
Category: Tensorflow
Category: Google Cloud Platform
Category: Artificial Intelligence
Category: Data Quality
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Responsible AI
What you'll learn
Yorumlanabilirliği ve şeffaflığı yapay zeka açısından tanımlama
Yapay zeka açısından yorumlanabilirliğin ve şeffaflığın önemini açıklama
Yapay zekada yorumlanabilirliğin ve şeffaflığın sağlanması için kullanılan araçları ve teknikleri keşfetme
Skills you'll gain
Category: Artificial Intelligence
Category: Data Ethics
Category: Responsible AI
Category: MLOps (Machine Learning Operations)
Category: Artificial Intelligence and Machine Learning (AI/ML)
What you'll learn
Yapay zekada gizliliği ve güvenliği tanımlama
Hem veriler hem de modellerde yapay zeka gizliliğini sağlama yöntemlerini açıklama
Yapay zekada güvenliği sağlamak için dikkat etmeniz gereken önemli unsurları belirleme
Yapay zekada güvenliği sağlamak için kullanılan teknikleri açıklama
Skills you'll gain
Category: Application Security
Category: Data Security
Category: Information Privacy
Category: Artificial Intelligence
Category: Personally Identifiable Information
Category: Cloud Security
Category: Generative AI
Category: Responsible AI
Category: Safety and Security
Category: Google Cloud Platform
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device
The path is built for App Developers, Machine Learning Engineers, and Data Scientists.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
More questions
Financial aid available,