Source URL: https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-training-to-future-proof-ai-skills/
Source: Cloud Blog
Title: Back to AI school: New Google Cloud training to future-proof your AI skills
Feedly Summary: Getting ahead — and staying ahead — of the demand for AI skills isn’t just key for those looking for a new role. Research shows proving your skills through credentials drives promotion, salary increase, leadership opportunities and more. And 8 in 10 Google Cloud learners feel our training helps them stay ahead in the age of AI.1 This is why we are so focused on providing new AI training content ensuring you have the tools to keep up in this ever-evolving space.
That’s why I’m thrilled to announce a new suite of Google Cloud AI training courses. These courses are designed with intermediate and advanced technical learners in mind for roles such as Cloud Infrastructure Engineers, Cloud Architects, AI Engineers and MLOps Engineers, AI Developers and Data Scientists. Whether you’re looking to build and manage powerful AI infrastructure, master the art of fine-tuning generative AI models, leverage serverless AI inference, or secure your AI deployments, we’ve got you covered.
For cloud infrastructure engineers, cloud architects, AI engineers and MLOps engineers:
AI infrastructure mini courses are your guide to designing, deploying and managing the high-performance infrastructure that powers modern AI. You’ll gain a deep understanding of Google’s TPU and GPU platforms, and learn to use Google Compute Engine (GCE) and Google Kubernetes Engine (GKE) as a robust foundation for any AI workload you can imagine.
For machine learning engineers, data scientists and AI developers:
Build AI Agents with Databases on Google Cloud teaches you how to securely connect AI agents to your existing enterprise databases. You’ll learn to craft agents that perform intelligent querying and semantic search, design and implement advanced multi-step workflows, and deploy and operationalize these powerful AI applications. This course is essential for building robust and reliable AI agents that can leverage your most critical data.
Supervised fine-tuning for Gemini educates you on how to take Google’s powerful models and make them your own by customizing them for your specific tasks, enhancing their quality and efficiency so they deliver precisely what you and your users need.
Cloud Run for AI Inference teaches you how to deploy those innovations with incredible speed and scale of serverless AI workloads. You’ll learn how to handle demanding AI workloads, including lightweight LLMs, and leverage GPU acceleration, ensuring your creations reach your audience efficiently and reliably.
Security engineers, security analysts:
Model Armor: Securing AI Deployments equips you with the knowledge to protect your generative AI applications from critical risks like data leakage and prompt injection. It’s the essential step to ensuring your innovations can be leveraged with confidence.
For individual developers, business analysts, and other non-technical users:
Develop AI-Powered Prototypes in Google AI Studio shows you how to use Google AI Studio, our developer playground for the Gemini API, to quickly sketch and test your ideas. Through hands-on labs and tutorials, you’ll learn how to prototype apps with little upfront setup and create custom models without needing extensive coding expertise. It’s the perfect way to turn a concept into a working model, ensuring your final structure is built on a tested and innovative design.
Start learning
Building a career in AI is about creating a future where you feel empowered and prepared, no matter how the landscape changes. We believe these courses provide the tools and the confidence to do just that.
Explore our new AI courses on Google Cloud Skills Boost today, and start building for your future.
1. Google/Ipsos, Cloud Learning Services Market Pulse, Fielded Sept 17th – October 23rd 2024 (US, UK, FR, DE, IN, BR, MX, JP, AU/NZ)
AI Summary and Description: Yes
Summary: The text introduces a new suite of AI training courses from Google Cloud, designed for various technical roles such as Cloud Engineers, AI Engineers, and Data Scientists. These courses focus on essential skills for managing AI infrastructure, deploying applications, and ensuring security in AI operations, which are critical in today’s rapidly evolving technological landscape.
Detailed Description:
The provided content highlights Google’s initiative to equip professionals with skills in AI through a series of specialized training courses. This is significant for industry professionals in cloud computing, AI development, and data security, emphasizing the growing need for skilled practitioners in these fields as AI technologies advance.
Key Highlights:
– **Target Audience**: The courses cater to professionals like Cloud Infrastructure Engineers, Cloud Architects, AI Engineers, MLOps Engineers, Data Scientists, and AI Developers, providing tailored learning paths according to their roles.
– **AI Infrastructure Courses**: These mini courses are crucial for understanding how to design and manage the infrastructure needed for AI workloads, leveraging Google technologies, such as:
– Google TPU and GPU platforms
– Google Compute Engine (GCE)
– Google Kubernetes Engine (GKE)
– **Building AI Agents**: A focused course on securely connecting AI agents to enterprise databases, highlighting skills in:
– Intelligent querying and semantic search
– Advanced workflow design and operation
– **Supervised Fine-Tuning for Gemini**: Educates participants on customizing Google’s AI models for specific tasks, improving their suitability and effectiveness for users.
– **Speed and Scale with Cloud Technologies**: The course on Cloud Run for AI Inference prepares professionals to deploy lightweight LLMs and handle demanding AI workloads using GPU acceleration.
– **Security in AI Deployments**: The Model Armor course emphasizes the importance of security for generative AI applications, focusing on:
– Mitigating risks such as data leakage and prompt injection
– Ensuring confidence in AI innovations
– **Prototyping Skills for Non-Technical Users**: Training aimed at individuals without extensive programming knowledge facilitates the creation of AI-powered prototypes using Google AI Studio, demonstrating inclusivity in AI skills development.
– **Career Development through AI Skills**: The overarching theme is the empowerment of individuals in their careers through comprehensive AI training, enabling them to stay relevant in a rapidly changing technological landscape.
In conclusion, these new courses from Google Cloud represent a substantial opportunity for professionals to enhance their capabilities in AI and related fields, which is essential for maintaining competitive advantage and ensuring robust, secure deployments of AI technologies.