The Generative AI Cloud Odyssey: Exploring AWS, Azure, and GCP Training
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The Generative AI Cloud Odyssey: Exploring AWS, Azure, and GCP Training
Generative AI Cloud Odyssey E-Learning Training Certified teachers Quizzes Assessments Tips tricks and Certificate.
Read more- Brand:
- Artificial Intelligence
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The Generative AI Cloud Odyssey: Exploring AWS, Azure, and GCP E-Learning
Unlock the potential of cloud computing and generative AI with our Generative AI Cloud Odyssey Training. Explore how AWS, Google Cloud Platform, and Azure enable advanced AI models and deep learning. Gain a solid understanding of Generative AI concepts, including Large Language Models (LLMs), and learn how to leverage these cloud platforms for cutting-edge AI solutions. Book now to enhance your skills and harness the power of cloud-based generative AI!
The LearningKit is divided into the following four tracks:
- Track 1: Generative AI for Innovation and Business Value
- Track 2: Exploring Generative AI on AWS
- Track 3: Exploring Generative AI on Azure
- Track 4: Exploring Generative AI on GCP
This LearningKit with more than 30 hours of learning is divided into three tracks:
Course content
Track 1: Generative AI for Innovation and Business Value
E-learning courses:
- An Introduction to Generative AI Concepts
- Generative Modeling Foundations
- Getting Started with Large Language Models (LLMs)
- Exploring the Depths of Large Language Models in Generative AI
- Leveraging Generative AI for Business
Assessment:
- Final Exam: Demystifying Generative AI
Track 2: Exploring Generative AI on AWS
E-learning courses:
- Generative AI on AWS: Getting Started
- Generative AI on AWS: Building GenAI Models with Amazon SageMaker
- Generative AI on AWS: Building GenAI Models with Amazon Bedrock
- Generative AI on AWS: Generating Code with Amazon CodeWhisperer
- Generative AI on AWS: Generating Speech with Amazon Polly
- Generative AI on AWS: Creating Intelligent Chatbots
- Generative AI on AWS: Deploying & Managing GenAI Services on AWS
Assessment:
- Final Exam: Generative AI on AWS
Track 3: Exploring Generative AI on Azure
E-learning courses:
- Introduction to Generative AI on Azure
- Generative AI with Azure OpenAI
- Deep Dive into Generative AI with Azure OpenAI
- Generative AI & the Azure Bot AI Service
Assessment:
- Final Exam: Generative AI on Azure
Track 4: Exploring Generative AI on GCP
E-learning courses:
- Generative AI on GCP: An Introduction
- Generative AI on GCP: Empowering Machine Language Workflows with Vertex AI
- Generative AI on GCP: Harnessing Generative AI with Vertex AI
- Generative AI on GCP: Deep Dive Into Generative AI Studio
- Generative AI on GCP: Building Generative AI-powered Apps in GCP
Assessment:
- Final Exam: Generative AI on GCP
Language | English |
---|---|
Qualifications of the Instructor | Certified |
Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
Lesson duration | 30:03 Hours |
Assesments | The assessment tests your knowledge and application skills of the topics in the learning pathway. It is available 365 days after activation. |
Online Virtuele labs | Receive 12 months of access to virtual labs corresponding to traditional course configuration. Active for 365 days after activation, availability varies by Training |
Online mentor | You will have 24/7 access to an online mentor for all your specific technical questions on the study topic. The online mentor is available 365 days after activation, depending on the chosen Learning Kit. |
Progress monitoring | Yes |
Access to Material | 365 days |
Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
Support or Assistance | Helpdesk and online knowledge base 24/7 |
Certification | Certificate of participation in PDF format |
Price and costs | Course price at no extra cost |
Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
Award Winning E-learning | Yes |
Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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