AWS Step Functions Guide - Workflow Automation in Minutes

Add workflow automation in your apps with minimal to no code & Integrate with AWS Lambdas, SNS, API Gateway, DynamoDB
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AWS Step Functions Guide - Workflow Automation in Minutes
4 179
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5 hours
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Aug 2024
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$29.99
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Why take this course?

🚀 Course Title: AWS Step Functions Guide - Workflow Automation in Minutes


🎓 Course Instructor: Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor


🎉 Course Headline: Add workflow automation in your apps with minimal to no code & Integrate with AWS Lambdas, SNS, API Gateway, DynamoDB


Dive into the World of Workflow Automation with AWS Step Functions 🌟

AWS Step Functions is a revolutionary service for building distributed applications and automating complex business processes workflows with just a few clicks! The beauty of Step Functions lies in its ability to abstract away the complexity of managing failures, retries, parallelization, and service integrations. As an instructor and seasoned software engineer, I'm here to guide you through this seamless process.

Why AWS Step Functions? 🤔

  • Visual Workflow Orchestration: Create, deploy, and manage workflows using the intuitive Workflow Studio interface with minimal coding.
  • Ease of Integration: Effortlessly integrate with over 200 AWS services including Lambda, SNS, SQS, DynamoDB, API Gateway, and more.
  • Stateful Workflows: Benefit from the robust state management to ensure smooth and orderly execution of your workflows. Enjoy built-in error handling for bulletproof orchestration.
  • Reliable Infrastructure: Leverage AWS's scalable and reliable infrastructure with each step function you create.

What You Will Learn 🚀

  1. Rapid Workflow Deployment:

    • Use the Workflow Studio to visually build your workflows quickly.
  2. Less Integration Coding:

    • Simplify your workflows by integrating with a wide array of AWS services.
  3. State Management & Error Handling:

    • Master creating stateful and reliable workflows with AWS Step Functions.
  4. Scalable Infrastructure:

    • Utilize the scalable cloud infrastructure that AWS provides to ensure your workflows are robust and efficient.

Real-World Use-Cases 🌐

Throughout this course, we'll explore several real-world use cases such as:

  1. Spam Handler Workflow:

    • Automate the process of filtering out spam emails or messages.
  2. News Filter Workflow:

    • Curate and organize news content based on user preferences.
  3. Contact Form Workflow:

    • Manage incoming contact form submissions and route them accordingly.
  4. Prospect Approval Workflow:

    • Streamline the process of approving new prospects for your sales team.

Gain Confidence with AWS Step Functions 🎓

By the end of this course, you will be confident in writing complex workflows using AWS Step Functions and integrating them with various AWS services. You'll have a thorough understanding of creating, deploying, and managing serverless workflows to improve efficiency and reliability in your applications.

Hands-On Learning Experience 👩‍💻

This course is designed for you to learn by doing. You'll get hands-on experience with AWS Step Functions, and by the end, you'll be proficient and ready to tackle real-world scenarios.

Money-Back Guarantee 💰

Try this course, and if you're not satisfied within 30 days, you can receive a full refund—no questions asked!

Course Includes 🎁

  • Lifetime Access: To all future updates of the course material.
  • Instructor Support: Get your queries resolved by a responsive instructor in the Q&A section.
  • Udemy Certificate of Completion: Showcase your new skills with an official Udemy certificate.
  • 30-Day Money Back Guarantee: We stand behind our course quality and your satisfaction.

Join Now & Unleash the Power of AWS Step Functions! 🚀

Don't miss out on mastering workflow automation in your applications. Enroll in this comprehensive course today and transform the way you approach business processes and application orchestration. Let's embark on this learning journey together! 📚✨

Course Gallery

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4796316
udemy ID
23/07/2022
course created date
27/10/2022
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