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Business Automation Course
More than 2 million students worldwide

Business Automation Course

Master every layer of business automation — from identifying opportunities and mapping processes to deploying AI-powered workflows and governing enterprise-scale programs. This course gives you the practical tools, frameworks, and hands-on skills to eliminate inefficiency and drive measurable results across any industry.

Dedika for businesses

What you will learn:

You will learn how to assess automation readiness, map and analyze business processes, and build workflows using no-code platforms and RPA tools. The course covers API integration, intelligent document processing, and AI-driven automation using NLP and machine learning services. You will also develop project management skills specific to automation delivery, including agile sprint practices and stakeholder communication. Industry-specific applications in finance, HR, and customer experience are included alongside cybersecurity and change management essentials. By the end, you will know how to design, scale, and govern a full automation program from the ground up.

How you study in practice Business Automation Course

How you practice Business Automation Course

For companies looking to train their teams

With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.

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Course Content

8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Business Automation

  • Lesson 1 • Measuring Automation ROI

    Covers cost-benefit analysis and key metrics for evaluating automation investments. Provides tools to build a business case for automation projects.

  • Lesson 2 • What Business Automation Means

    Defines automation, distinguishes it from digitization, and maps its role in modern operations. Establishes shared vocabulary used throughout the course.

  • Lesson 3 • Identifying Automation Opportunities

    Teaches structured methods to spot repetitive, rule-based tasks suitable for automation. Connects opportunity identification to business value creation.

  • Lesson 4 • Automation Readiness Assessment

    Evaluates organizational maturity across people, process, and technology dimensions. Guides learners in diagnosing gaps before launching automation initiatives.

Chapter 2See details

Process Mapping and Analysis

  • Lesson 1 • Defining Automation Scope and Rules

    Translates process analysis into clear automation requirements and decision rules. Scope definition prevents scope creep during implementation.

  • Lesson 2 • Analyzing Process Inefficiencies

    Applies root-cause and waste-analysis techniques to identify bottlenecks and redundancies. Analysis results directly inform automation scope decisions.

  • Lesson 3 • Process Documentation Fundamentals

    Introduces standard notation and tools for capturing process flows. Accurate documentation prevents automation of flawed processes.

  • Lesson 4 • Validating Process Maps with Stakeholders

    Covers walkthrough techniques and sign-off procedures to confirm process accuracy. Stakeholder validation reduces rework during automation build phases.

Chapter 3See details

No-Code and Low-Code Automation Tools

  • Lesson 1 • Overview of No-Code Platforms

    Surveys the landscape of no-code automation tools and their core capabilities. Helps learners select the right platform for specific business scenarios.

  • Lesson 2 • Connecting Apps and Data Sources

    Demonstrates how to link disparate applications using connectors and APIs within no-code platforms. Connectivity enables end-to-end process automation across systems.

  • Lesson 3 • Deploying and Monitoring Workflows

    Guides learners through publishing automations and setting up monitoring dashboards. Ongoing monitoring ensures workflows perform reliably in production.

  • Lesson 4 • Applying Conditional Logic and Filters

    Covers if-then branching, filters, and loops to handle varied business scenarios. Conditional logic transforms simple automations into intelligent workflows.

  • Lesson 5 • Building Trigger-Based Workflows

    Teaches how to configure event triggers that initiate automated sequences. Trigger logic is the foundational mechanism in all workflow automation tools.

Chapter 4See details

Robotic Process Automation Essentials

  • Lesson 1 • Testing and Deploying RPA Bots

    Covers unit testing, user acceptance testing, and production deployment of bots. Structured testing prevents costly failures in live business environments.

  • Lesson 2 • Recording and Scripting Bot Actions

    Covers recorder tools and manual scripting to capture UI interactions for bots. Recording accuracy directly determines bot reliability in production.

  • Lesson 3 • Handling Data in RPA Workflows

    Teaches bots to read, transform, and write data across spreadsheets, databases, and forms. Data handling is central to most enterprise RPA use cases.

  • Lesson 4 • RPA Architecture and Components

    Explains bot types, orchestrators, and agent infrastructure that form an RPA environment. Architectural knowledge guides correct tool selection and deployment planning.

  • Lesson 5 • Exception Handling and Bot Resilience

    Introduces try-catch logic and retry mechanisms to keep bots running despite errors. Resilient bots reduce manual intervention and support SLA compliance.

Chapter 5See details

Data Integration and API Automation

  • Lesson 1 • Monitoring and Maintaining Integrations

    Establishes practices for tracking pipeline health, versioning APIs, and managing change. Proactive maintenance prevents integration failures from disrupting business operations.

  • Lesson 2 • API Fundamentals for Automation

    Explains REST API concepts, HTTP methods, and authentication patterns relevant to automation. API literacy enables integration of virtually any modern business application.

  • Lesson 3 • Error Handling in Data Pipelines

    Addresses data validation, deduplication, and failure recovery in integration workflows. Robust error handling maintains data integrity across connected systems.

  • Lesson 4 • Designing Data Integration Pipelines

    Teaches ETL and ELT pipeline design patterns for moving and transforming business data. Pipeline design decisions affect data freshness, accuracy, and system load.

  • Lesson 5 • Webhooks and Event-Driven Integration

    Covers webhook configuration and event-driven architecture for real-time data exchange. Event-driven integration reduces polling overhead and improves system responsiveness.

Chapter 6See details

Intelligent Automation with AI and ML

  • Lesson 1 • AI Capabilities Relevant to Automation

    Maps AI service categories to common automation use cases such as classification and extraction. Understanding AI capabilities prevents misapplication and sets realistic expectations.

  • Lesson 2 • Governance of AI-Driven Automation

    Addresses bias detection, explainability requirements, and human-in-the-loop design for AI workflows. Governance ensures AI automation meets ethical and regulatory standards.

  • Lesson 3 • Machine Learning Model Integration

    Teaches how to call ML model endpoints and use predictions to drive workflow decisions. Model integration bridges data science outputs with operational automation.

  • Lesson 4 • Intelligent Document Processing

    Covers OCR, form recognition, and extraction pipelines for automating document-heavy workflows. Document processing automation eliminates high-volume manual data entry tasks.

  • Lesson 5 • Natural Language Processing in Workflows

    Integrates NLP services for sentiment analysis, intent detection, and text routing. NLP enables automation of customer communications and support ticket triage.

Chapter 7See details

Automation Project Management and Delivery

  • Lesson 1 • Agile Delivery for Automation Teams

    Adapts agile sprint practices to iterative automation development and testing cycles. Agile delivery accelerates value realization and incorporates stakeholder feedback early.

  • Lesson 2 • Scoping and Planning Automation Projects

    Defines project scope, milestones, and resource requirements for automation initiatives. Solid planning reduces delivery risk and aligns expectations with stakeholders.

  • Lesson 3 • Automation Handover and Hypercare

    Guides teams through knowledge transfer, documentation, and post-launch support periods. Structured handover ensures operations teams can sustain automations independently.

  • Lesson 4 • Stakeholder Communication and Reporting

    Covers status reporting, escalation paths, and executive dashboards for automation projects. Effective communication maintains stakeholder confidence and project momentum.

  • Lesson 5 • Risk Management in Automation Projects

    Identifies technical, operational, and organizational risks specific to automation delivery. Proactive risk management prevents project delays and production failures.

Chapter 8See details

Scaling and Governing Automation at Enterprise Level

  • Lesson 1 • Automation Governance Policies and Standards

    Establishes naming conventions, security policies, and change management standards for automation assets. Governance prevents technical debt and ensures compliance across the portfolio.

  • Lesson 2 • Building an Automation Center of Excellence

    Defines CoE roles, operating models, and service offerings for enterprise automation programs. A CoE standardizes delivery and accelerates adoption across business units.

  • Lesson 3 • Continuous Improvement and Innovation Pipeline

    Establishes processes for retiring outdated automations and piloting emerging technologies. A continuous improvement culture keeps the automation program strategically relevant.

  • Lesson 4 • Measuring Automation Program Performance

    Defines KPIs and reporting frameworks to track the business impact of the automation portfolio. Performance measurement drives continuous improvement and justifies program investment.

  • Lesson 5 • Portfolio Management and Prioritization

    Applies portfolio management techniques to rank and fund automation initiatives across the enterprise. Portfolio discipline maximizes ROI and aligns automation with strategic goals.

Certification

Your valid completion certificate

This course is for you:

  • Operations Manager: wants to reduce manual workload and improve team throughput systematically.

  • Business Analyst: ready to move beyond documentation into actually building automated solutions.

  • IT Project Manager: looking to lead automation delivery with structured frameworks and governance skills.

  • Career Changer: transitioning from admin or coordinator roles into a higher-value automation specialty.

  • Finance or HR Professional: seeking to automate repetitive departmental tasks without relying on developers.

  • Entrepreneur or Consultant: aiming to streamline client operations and offer automation as a service.

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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