Vertex AI
Embark on a transformative journey into the world of Google Cloud with our comprehensive course designed for programmers seeking to harness the power of cloud computing and artificial intelligence. Covering foundational concepts such as Cloud Storage and Serverless products to advanced topics like BigQuery and Vertex AI, this course offers a holistic understanding of Google Cloud essentials. Delve into cutting-edge AI technologies including Vision API, Document AI, and BigQuery ML, equipping you with the skills to leverage data for insights and decision-making. Explore the revolutionary Vertex AI platform, mastering AutoML and managed model deployment for seamless integration into your projects. Finally, unlock the potential of Generative AI with tools like Gemini, enabling you to create dynamic and engaging content. Whether you're a novice or seasoned developer, this course promises to elevate your expertise and empower you to innovate in the digital landscape.
List of topics
- Intro to Google Cloud
- Essentials
- Cloud Storage
- Serverless products
- From events to Data Analytics
- What is BigQuery
- Permissions, authorization, service account keys
- Billing and alerts
- Google Cloud AI Portfolio
- Vision API and friends
- Document AI
- BigQuery ML
- Data labelling, annotation tasks
- Vertex AI
- What is Vertex AI?
- AutoML Objectives
- Build a labeled dataset
- Build, train and evaluate managed models
- Deploy models on Vertex AI
- Generative AI
- Gemini
- Model Garden
- LLMs and Generative AI
- Text Extraction, summarization
- Prompt understanding, design
- Using PaLM 2 API
Benefits
This course is for
All developers
Requirements
- OOP
- Data Structures
- Understanding datasets, working with JSON, a good sense of SQL knowledge
- Basic programming knowledge to implement APIs, Jupyter notebooks
- Networking, DNS, WWW, HTTP protocol + error messages, REST
- Async processing, message queues, event oriented programming, callbacks
- Linux and cli: basics of shell scripting, processes, and file systems
- Nice to have: experience with cloud environments, serverless, functions, containers
- Nice to have: signal processing, data clustering, big data, ecommerce datasets
Program sesiuni
Category
Level
Location
Sessions
Duration
Credentials
Stage 1
Discover the digital world with Google! (10 hours) and Generative AI (5 hours): learn online productivity and communication skills, adapted to today's most widely used technologies.
Stage 2
Introduction to Programming (20 hours): develop minimal programming and application testing skills.
Stage 3
Web Front-End Development Course (80 hours): this is a training course to acquire the minimum knowledge specific to software application development.
Unlock your potential today!
Ready to dive into the world of programming languages? Look no further! Contact us for more details.
