Make Fundamentals: Introduction to Workflow Automation Training Course

This instructor-led live training, conducted in US (either online or onsite), is tailored for advanced-level AI/ML engineers, data scientists, and technical innovators. It focuses on integrating AI capabilities into Make workflows to optimize and automate processes for government.

By the conclusion of this training, participants will demonstrate the ability to:

• Evaluate the role of AI and machine learning in operational automation.
• Integrate AI/ML models into Make workflows utilizing API standards.
• Execute sentiment analysis, predictive modeling, and data-informed decision-making.
• Refine and scale AI-driven automation workflows.

This instructor-led, live training in US (available online or on-site) is designed for advanced-level developers, system integrators, and technical operations teams seeking to enhance automation processes through the integration of external APIs within Make.

Upon completion of this training, participants will be able to:

• Analyze Make’s API architecture and methods for extending its functionality.
• Utilize APIs to facilitate the integration of third-party applications.
• Develop custom connectors for applications that are not natively supported.
• Apply advanced automation techniques leveraging Make and APIs.

This instructor-led, live training in US (online or onsite) is intended for intermediate-level IT professionals and automation engineers seeking to master advanced Make features, refine complex workflows, and manage error resolution effectively.

Upon completion of this training, participants will be able to:

• Apply advanced Make features for workflow automation for government operations.
• Enhance workflows using conditional logic, iterators, and error handling mechanisms.
• Integrate multiple applications for cohesive automation.
• Monitor and diagnose workflows to ensure maximum efficiency.
• Adopt best practices for scaling workflow automation solutions.

This instructor-led, live training in US (delivered online or onsite) is tailored for intermediate-level professionals seeking to utilize Make for the integration of business applications, the optimization of operational workflows, and the enhancement of organizational productivity.

Upon completion of this training, participants will be prepared to:

• Establish automated workflows connecting distinct business applications.
• Utilize Make to integrate SaaS tools, including Google Workspace, Slack, Trello, and Stripe.
• Architect and deploy multi-step workflows without the need for programming code.
• Refine and resolve issues within automated workflow systems.

This instructor-led, live training session in US (available online or onsite) is designed for intermediate-level remote teams, project managers, and HR professionals who seek to automate collaboration and task management processes using Make.

Upon completion of this training, participants will be able to:

• Automate team collaboration tasks and administrative notifications.
• Integrate Make with various project management systems.
• Streamline HR and onboarding workflows.
• Enhance task tracking and reporting capabilities through automation.

This instructor-led, live training session in US (available online or in-person) is targeted at intermediate-level data professionals who intend to employ the Make platform to construct automated data pipelines and enhance data synchronization procedures.

Upon completion of this training, participants will be able to:

• Establish automated data pipelines using the Make platform.
• Connect various data sources, including databases, CRM systems, and cloud applications.
• Implement real-time data synchronization and transformation workflows.
• Optimize and troubleshoot automation workflow performance.

This instructor-led live training in US (delivered online or onsite) is tailored for senior DevOps professionals aiming to automate CI/CD pipelines, infrastructure monitoring, and cloud deployments using Make.

Upon completion of this training, participants will be prepared to:

• Automate CI/CD workflows using Make, establishing integrations with Jenkins, GitHub, and Docker.
• Oversee infrastructure automation for the provisioning and continuous monitoring of cloud resources.
• Execute efficient workflow automation for code deployment, testing cycles, and rollback protocols.
• Enhance infrastructure orchestration by leveraging Make’s advanced integration capabilities.

This instructor-led, live training in US (online or onsite) is designed for intermediate-level eCommerce professionals seeking to optimize sales and inventory management processes using Make.

Upon completion of this training, participants will be equipped to:

• Integrate eCommerce platforms, including Shopify, WooCommerce, and Etsy, with Make.
• Automate inventory adjustments and order tracking across multiple systems.
• Establish automated workflows for customer communication and support operations.
• Enhance sales and inventory management through advanced automation strategies.

This instructor-led live training, conducted either online or in person at US, is intended for intermediate-level marketing professionals aiming to automate routine tasks, enhance lead cultivation, and optimize stakeholder engagement through workflow automation.

Upon completion of this training, participants will be able to:

• Utilize Make to automate marketing campaigns and lead cultivation workflows.
• Develop personalized constituent engagement maps through integrated platforms.
• Synchronize data across marketing tools such as Mailchimp, HubSpot, and social media platforms.
• Monitor and analyze automated workflows to optimize campaign performance.
• Adopt best practices for scalable marketing automation strategies.

This instructor-led, live training in US is designed for intermediate-level professionals seeking to automate business processes and build their first AI agent with Make.

By the end of this training, participants will be able to:

• Design no-code workflows in Make utilizing triggers and webhooks.
• Connect AI agents to institutional data for government operations within a flow.
• Automate a substantive process end-to-end, incorporating error handling and monitoring.