Best Roadmap to Learn Generative AI in 2024

In Today’s Cloudbites:

🤓 The Best Roadmap to Learn Generative AI

📚 5 Resources to Help You Get Started

☁️ Online Cloud Events to Look Forward to

🤫 PLUS: Canva Releases New AI Features

Read time: 5 minutes

Hi friends, welcome back to Cloudbites

Today, I’ll be sharing a step-by-step guide alongside some resources to aid your Generative AI learning journey. I’ll also share some opportunities to help you develop your Cloud skills, as well as Canva’s new AI features.

CLOUD COMPUTING ☁️

🤓 The Best Way to Learn Generative AI

Did you know that Generative AI is now starting to become widely adopted by many organizations to boost productivity and efficiency in their operations?

🔍 What is Gen-AI? It’s a type of AI model that enables you to generate synthetic data for training ML models and even personalized content for marketing campaigns.

🙋‍♀️ Who’s it for? Whether you’re seeking to increase your job prospects or dive deeper into cloud computing, being able to work with Generative AI is a demanded skill.

📚 Roadmap to Start Learning

#1 Generative AI Fundamentals

Like in any field, grasping the fundamentals of Generative AI is essential before progressing further. 

It will help you build a strong foundation upon the conceptual framework of how generative AI works. 

This understanding enables you to approach more complex algorithms and techniques later on in your learning journey. 

#2 Understand Prompt Engineering 

One of the most important features of Generative AI is called Prompt Engineering.

It’s essentially the process of designing and crafting effective prompts for AI language models to get the outcome you’d like to have. 

You can start by clearly defining the task you want the AI model to perform.

To hone your skills, you can always practice by experimenting with different prompt structures and refining them to find optimal results.

#3 Building Generative AI Applications Using a Platform

There are multiple platforms designed to provide tools to build and scale Generative AI applications, one of which being Amazon Bedrock. 

You might also be interested in exploring other alternative platforms, such as Google Cloud’s Vertex AI and Azure’s Machine Learning as each platform has their own unique features. 

When it comes to practicing your understanding, it’s best to choose the platform that you’re most comfortable with using.

That way, you can apply the knowledge you’ve been learning more effectively. 

#4 Hands-on Experience via Workshops 

To really aim for having a competitive advantage as a Cloud learner, doing hands-on experiences is always a great way to consolidate your understanding. 

And what better way than to attend industrial workshops that challenge you to build Generative AI solutions?

You also get to collaborate with your peers and network with some industry experts to tackle real-world challenges and broaden your insights on Generative AI.

📚 5 Resources to Help You Get Started

#1 Introduction to Generative AI: Art of the Possible [Beginner]

Build a solid basic understanding of Generative AI, as well as multiple prospects of its applications and development in the real-world. 

Click here to enroll in the course.

#2 Foundations of Prompt Engineering [Beginner]

Equip yourself with the concept of prompt engineering as well as the principles, techniques, and the best practices for designing effective prompts.

Click here to enroll in the course. 

#3 Amazon Bedrock Getting Started [Beginner]

Learn about the benefits, features, typical use cases, technical concepts, and cost of Amazon Bedrock as one of the many platforms that supports the application of Generative AI.

Click here to enroll in the course.

#4 Building Generative AI applications Using Amazon Bedrock [Intermediate]

Once you feel confident with the services offered by Amazon Bedrock, dive deeper and discover the architecture patterns to build applications for key Generative AI use cases.

Click here to enroll in the course.

#5 Building with Generative AI on AWS using PartyRock, Amazon Bedrock, and Amazon Q [Intermediate]

This workshop will help you challenge your learning by developing applications using PartyRock and Amazon Bedrock, as well as hone your skills in prompt engineering and using different foundational models.

Click here to enroll in the workshop. 

☁️ Online Cloud Events to Look Forward to

#1 Azure – Deploying an application that uses OpenAI on Azure Kubernetes Service (AKS) (June 6)

Discover how Microsoft can revolutionize your work processes with OpenAI and AKS.

Click here to register. 

#2 Azure – AI Fundamentals (June 5 & 6)

Learn how to build intelligent applications using Azure AI services and how organizations use AI to solve real-world challenges.

Click here to access.

#3 Azure – Data Fundamentals (June 5 & 6)

Master the basics of core data concepts and explore Azure cloud data services.

Click here to register.

ARTIFICIAL INTELLIGENCE 🤖

🤫 PLUS: Canva Releases New AI Features

Canva had just launched more AI-integrated tools to its design and editing workspace.

💡Here are some of the new AI tools that might interest you:

• Magic Design: Generates ads and presentations

• Magic Grab: Click any part of an image, and you can immediately move, delete, or swap it

• Magic Media: Generate videos using prompts

• AI Video Editor: Creates and edits short videos (great for social media marketing)

• Magic Write: Generates text that is adjustable to your brand/tone

All AI-powered tools on Canva are now available to every user. 

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THAT’S A WRAP

Thanks for reading! 😊

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