Make Training in Bhutan

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

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

• Automate team collaboration tasks and notifications.
• Integrate Make with project management tools.
• Streamline HR and onboarding workflows.
• Improve task tracking and reporting through automation.

This instructor-led, live training in Bhutan (online or onsite) is designed for advanced-level AI/ML engineers, data scientists, and tech innovators who wish to integrate AI capabilities into Make workflows to optimize and automate processes.

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

• Comprehend the AI and machine learning capabilities within automation.
• Integrate AI/ML models into Make workflows using APIs.
• Implement sentiment analysis, predictive modeling, and data-driven decision-making.
• Optimize and scale AI-driven automation workflows.

This instructor-led live training in Bhutan (online or onsite) caters to advanced-level developers, system integrators, and technical operations teams aiming to enhance their automation workflows by integrating external APIs with Make.

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

• Grasp the functionality of Make’s API and learn how to extend its capabilities.
• Utilize APIs to seamlessly integrate third-party applications.
• Develop custom connectors for applications lacking native support.
• Apply advanced automation strategies using Make alongside APIs.

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

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

• Automate CI/CD workflows using Make and integrate with Jenkins, GitHub, and Docker.
• Manage infrastructure automation for provisioning and monitoring cloud resources.
• Implement efficient workflow automation for code deployment, testing, and rollback strategies.
• Optimize infrastructure orchestration using Make’s advanced integrations.

This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate professionals who wish to use Make to integrate business applications, streamline operations, and enhance productivity.

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

• Set up automated workflows between different business applications.
• Use Make to connect SaaS tools such as Google Workspace, Slack, Trello, and Stripe.
• Design and implement multi-step workflows without coding.
• Optimize and troubleshoot automated workflows.

This instructor-led, live training in Bhutan (online or onsite) targets intermediate-level data professionals aiming to utilize Make for building automated data pipelines and optimizing data synchronization processes.

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

• Set up automated data pipelines using Make.
• Integrate various data sources, including databases, CRMs, and cloud applications.
• Implement real-time data synchronization and transformation.
• Optimize and troubleshoot automation workflows.

This instructor-led, live training in Bhutan (online or onsite) is aimed at intermediate-level eCommerce professionals who wish to streamline their sales and inventory management processes using Make.

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

• Integrate eCommerce platforms like Shopify, WooCommerce, and Etsy with Make.
• Automate inventory updates and order tracking across multiple platforms.
• Set up automated workflows for customer communication and support.
• Optimize sales and inventory management through advanced automation strategies.

This instructor-led, live training in Bhutan (online or onsite) targets intermediate-level marketing professionals who wish to automate repetitive tasks, nurture leads effectively, and optimize customer engagement through workflow automation.

Upon completing this training, participants will be capable of:

• Utilizing Make to automate marketing campaigns and lead nurturing processes.
• Developing personalized customer journey maps via integrated platforms.
• Synchronizing data across marketing tools such as Mailchimp, HubSpot, and social media networks.
• Monitoring and analyzing automated workflows to improve campaign performance.
• Implementing best practices for scalable marketing automation strategies.

This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate-level IT professionals and automation engineers who wish to master the advanced features of Make, optimize complex workflows, and handle error management effectively.

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

• Utilize advanced features of Make for workflow automation.
• Optimize workflows using conditional logic, iterators, and error handling.
• Integrate multiple applications for seamless automation.
• Monitor and troubleshoot workflows for maximum efficiency.
• Implement best practices for scaling workflow automation solutions.

This instructor-led, live training in Bhutan (online or onsite) is designed for beginner-level participants who wish to learn the basics of workflow automation and simplify their daily tasks using Make.

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

• Create and manage workflows in Make.
• Integrate different applications into workflows.
• Automate simple tasks such as data synchronization, notifications, and file management.
• Understand how to use pre-built templates and create custom workflows.
• Learn how to troubleshoot and debug workflows.

This instructor-led live training in Bhutan is designed for intermediate-level professionals who wish 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 using triggers and webhooks.
• Connect an AI agent to their data within a flow.
• Automate a real process from start to finish, including error handling and monitoring.