Automation Bootcamp Training for Developers

Duration: 8-12 Weeks Approximately
Level: Basic to Advanced
Mode: Online (can be tailored for in-person)
Target Audience: Software Developers, IT Professionals, QA Engineers, DevOps Engineers
Prerequisites: Basic programming knowledge in Python, Java, or similar language.

1. Basic Level: Introduction to Automation

Duration: 2-3 Weeks Approximately
Objective: Introduce developers to the core concepts of automation, including task automation and scripting basics.

Modules:

1. Introduction to Automation
   • What is Automation?
   • Benefits and Use Cases in Development
   • Tools and Technologies Overview (RPA, DevOps, Automation Testing)
2. Programming for Automation
   • Introduction to Python (or Java) for Automation
   • Variables, Loops, Functions, and Conditionals
   • File handling, reading/writing files, automation tasks
3. Automating Simple Tasks
   • Automating system operations (Windows, Linux)
   • Automating file organization, backups, and updates
   • Email automation using Python libraries (e.g., smtplib, email)
4. Scripting for Automation
   • Writing basic automation scripts to perform repetitive tasks
   • Scheduling scripts using Cron (Linux) or Task Scheduler (Windows)
5. Introduction to Web Scraping
   • Scraping data using Python (BeautifulSoup, Scrapy)
   • Handling HTTP requests and parsing HTML

End of Basic Level Project:

• Project 1: Automate the process of downloading and organizing files from a specific URL.

2. Intermediate Level: Robotic Process Automation (RPA) and Automation Testing

Duration: 3-4 Weeks Approximately
Objective: Expand into Robotic Process Automation (RPA) and automation testing, focusing on creating bots and automating repetitive workflows.

Modules:

1. Introduction to RPA
   • Overview of Robotic Process Automation
   • Key RPA Tools: UiPath, Blue Prism, Automation Anywhere
   • RPA Use Cases and Benefits in Business Automation
2. Hands-on with UiPath (or another RPA tool)
   • Building your first RPA bot
   • Automation workflows for data entry, processing invoices, email automation
   • Creating bots that interact with desktop and web applications
3. Automation Testing Fundamentals
   • Introduction to Test Automation and its Benefits
   • Test Automation Frameworks: Selenium, Appium, TestNG
   • Writing automated test scripts for web and mobile apps
4. Advanced Web Scraping & APIs
   • Automating API interactions (REST, SOAP) with Python
   • Automating data extraction and reporting via APIs
5. CI/CD Pipelines and Automation with Jenkins
   • Introduction to Continuous Integration/Continuous Deployment (CI/CD)
   • Integrating automated testing into the CI/CD pipeline
   • Automating builds and deployment with Jenkins

End of Intermediate Level Project:

• Project 2: Build a bot that automates the extraction of data from a website and stores it in a structured format (CSV/Excel).

3. 3. Advanced Level: Advanced Automation Techniques & DevOps Automation

Duration: 3-4 Weeks Approximately
Objective: Delve into advanced automation techniques, DevOps automation, and best practices for automating complex workflows.

Modules:

1. Advanced RPA Development
   • Advanced UI Automation (OCR, AI integration)
   • Handling exceptions and error handling in bots
   • Integrating RPA with other systems (e.g., databases, CRMs)
2. Containerization and Automation with Docker and Kubernetes
   • Introduction to Docker: Creating and managing containers
   • Automating application deployment with Docker
   • Using Kubernetes for orchestration and automating app scaling
3. Infrastructure as Code (IaC)
   • Introduction to Infrastructure Automation
   • Tools for IaC: Terraform, Ansible, Chef, Puppet
   • Automating cloud infrastructure setup (AWS, Azure)
4. Advanced CI/CD and DevOps Automation
   • Integrating advanced test automation into CI/CD pipelines
   • Automating rollback and failure recovery in deployment pipelines
   • Monitoring and automated alerts in production environments
5. Machine Learning & AI in Automation
   • Integrating machine learning models in automation workflows
   • Automating data analysis using AI and machine learning algorithms
   • Implementing predictive maintenance through automation

End of Advanced Level Project:

• Project 3: Build a full-fledged automation system that integrates RPA with a DevOps pipeline, automates web scraping, and triggers an alert system based on the results.

Capstone Project:

• Final Project: The final project will integrate multiple automation tools learned throughout the course. Participants will create an end-to-end automation solution that integrates RPA, web scraping, API interactions, CI/CD pipelines, and deployment.

Key Tools & Technologies Covered:

• Programming Languages: Python, Java (or preferred language for automation)
• RPA Tools: UiPath, Blue Prism, Automation Anywhere
• Automation Testing Tools: Selenium, Appium, TestNG
• DevOps Tools: Jenkins, Docker, Kubernetes, Terraform, Ansible
• APIs: REST, SOAP, Webhooks
• Cloud Automation: AWS, Azure
• Other Tools: Git, Postman, GitHub Actions

Assessment & Certification:

• Quizzes: After each module to assess understanding
• Hands-on Projects: Practical projects at the end of each level
• Capstone Project: Final project to showcase learned automation skills
• Certification: Upon completion, participants will receive a certificate in Automation Development from the Bootcamp.

This bootcamp will take developers through the entire automation process—from basic scripting and RPA to advanced DevOps automation—preparing them to implement automation solutions in real-world applications.