AI Automation Essentials for Business Professionals

This expert-led, two-day course equips non-technical business professionals with practical skills to harness AI for optimizing workflows, enhancing decision-making, and elevating customer interactions

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Essential Skills Gained

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Recognize tasks and processes suitable for AI automation to enhance efficiency and decision-making.

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Develop hands-on skills with AI-driven automation tools to simplify workflows and boost productivity.

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Leverage AI for trend analysis, predictive insights, and real-time decision-making to strengthen business strategies.

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Understand AI risks, ethics, and compliance considerations, including bias, data privacy, and responsible AI use.

Format

  • Instructor-led
  • 2 days with lectures and hands-on labs.

Audience

  • Business professionals new to AI, including operations managers, business analysts, project managers, customer experience leaders, finance professionals, and executives.
  • Ideal for those seeking to integrate AI into workflows for improved efficiency and decision-making across industries.
  • No technical background required, only an interest in leveraging AI for business success.

Description

AI-powered automation is revolutionizing business operations, driving efficiency, intelligence, and speed. This expert-led, two-day course equips non-technical business professionals with practical skills to harness AI for optimizing workflows, enhancing decision-making, and elevating customer interactions. Through hands-on exercises and real-world case studies, participants will engage with user-friendly AI tools to automate repetitive tasks, generate predictive insights, and streamline operations. Designed for business professionals, managers, and decision-makers, the course empowers attendees to identify automation opportunities, implement AI-driven workflows, and leverage AI-powered analytics for smarter decisions. With expert guidance and interactive sessions, participants will leave with actionable strategies to integrate AI, reduce manual workloads, and achieve impactful business outcomes. Industry-specific variations (e.g., finance, healthcare) are available; contact for details.

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Upcoming Course Dates

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Course Outline

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  1. AI & Automation: What Every Business Leader Needs to Know

    • Definition and importance of AI-powered automation.

    • Introduction to AIOps (AI for IT and business operations).

    • Real-world examples of AI transforming industries.

    • Exploration of AI-powered business workflows.

  2. Business Use Cases: Where AI Automation Works Best

    • Customer Service: AI chatbots for 24/7 support, sentiment analysis.

    • Operations: Predictive demand forecasting, automated inventory.

    • Marketing: Personalized campaigns, automated lead scoring.

    • Finance: Fraud detection, automated compliance checks.

    • Applying AI to specific business challenges.

  3. How AI Tools Work (Without Technical Overload)

    • AI models vs. rule-based automation.

    • How AI tools learn and improve.

    • No-code AI platforms (e.g., Microsoft Copilot, ChatGPT, AI-driven dashboards).

    • Hands-on: Exploring a drag-and-drop AI automation tool.

  4. AIOps for Business Decision-Makers

    • Strategies for integrating AI into workflows.

    • Importance of human oversight in AI automation.

    • Case study: Companies successfully using AI for automation.

    • Challenges and solutions for AI adoption.

  5. Responsible AI: Ethics, Risks, and Business Considerations

    • Mitigating bias in AI decision-making.

    • Ensuring data privacy and compliance (e.g., GDPR, CCPA).

    • Promoting transparency in AI processes.

    • Managing risks in AI business applications.

  6. No-Code AI Automation for Business Workflows

    • Overview of AI automation platforms.

    • Building AI-powered workflows without coding.

    • Hands-on Lab: Creating an AI automation workflow in a business tool.

  7. AI-Driven Decision-Making & Predictive Insights

    • AI in business intelligence: Trend analysis and outcome prediction.

    • AI dashboards and analytics (e.g., Power BI, Tableau AI, Google Looker).

    • AI for real-time business monitoring and anomaly detection.

    • Using AI-powered dashboards to extract key business insights.

  8. Future-Proofing Your Organization with AI & AIOps

    • Trends in AI-driven workflow optimization and automation.

    • Integration of AI copilots and assistants into workflows.

    • Emerging AI technologies reshaping business operations.

    • Exploring AI-enhanced business processes.

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