I have compiled the best free Google AI courses.
Don't miss these courses. They are:
- Expertly tailored and highly relevant
- Suitable for newbies and experienced pros alike
- Fantastic resources to ace the AI game in 2024
Check them out below,
and get ahead in your career.
Beginner Level
1) Introduction to Generative AI
Understand the fundamentals of generative AI and its use cases, and gain practical experience of developing generative AI apps.
https://lnkd.in/dyabpncK
2) Prompt Design in Vertex AI
Craft powerful prompts, learn multimodal generative techniques, and apply Gemini models to real-world marketing cases.
https://lnkd.in/d8QgGSrS
3) Introduction to Duet AI in Google Workspace
Learn to use Duet AI to streamline your Google Workspace and become more productive.
https://lnkd.in/d6-sQ-DN
4) Responsible AI: Applying AI Principles with Google Cloud
Learn best practices to responsibly integrate AI into your business operations.
https://lnkd.in/ddp4vBNd
Intermediate
5) Conversational AI on Vertex AI and Dialogflow CX
Build, deploy and manage virtual agents to engage with customers and resolve errors.
https://lnkd.in/dnkAxE4B
6) Attention Mechanism
Understand the basics of attention mechanism and learn to use it to improve standard ML tasks, such as machine translation, text summarization, and answering questions.
https://lnkd.in/dDZTDEvg
7) Create Image Captioning Models
Use deep learning to create your own image captioning model, train it, and evaluate output.
https://lnkd.in/duuJTWvv
8) Encoder-Decoder Architecture
Learn the fundamentals of encoder-decoder architecture and to use it to train models to perform sequence-to-sequence tasks.
https://lnkd.in/dsNaBcBt
Advanced
9) ML Pipelines
Learn from trainers and engineers who are directly involved in the development of ML pipelines at Google Cloud.
https://lnkd.in/dDu_fgVZ
10) Google Cloud Solutions II: Data and Machine Learning
Learn to use Google Cloud to run big data operations and analytics, using the ML practices of Google’s Solutions Architecture team.
https://lnkd.in/dpMYeVyK
DISCLAIMER: Most course materials are free to consume. But labs may need a subscription, credits, or participation in campaigns to be accessed.
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