AI in Business Applications – Leveraging AI for Operational Success
Unlock the potential of AI in predictive analytics, recommendation systems, and workflow automation. Learn how AI enhances customer engagement with chatbots and sentiment analysis. Gain hands-on experience with pre-built AI tools like Azure, AWS, and Google AI APIs to drive efficiency and innovation in your business.
- Explore advanced AI use cases across marketing, HR, and supply chain management.
- Learn to build AI-first companies with a focus on change management.
- Dive into AI governance and risk management for businesses.
- Develop a transformation proposal that uses AI to reimagine business processes.
- Course duration: 4 weeks
- Become a Certified AI Business Strategist.
AI in Business Applications Course
AI in Business Applications Course Overview
- Comprehensive Curriculum – Covers key AI applications in business, including predictive analytics, automation, and customer engagement.
- AI-Driven Decision Making – Learn how predictive analytics and recommendation systems optimize marketing, operations, and logistics.
- Process Automation – Leverage Robotic Process Automation (RPA) to streamline workflows and integrate AI with ERP and CRM systems.
- Customer Experience Enhancement – Utilize chatbots, conversational AI, and sentiment analysis to personalize customer interactions.
- Industry-Leading AI Tools – Explore pre-built AI services from Azure, AWS, and Google, comparing their capabilities for business integration.
AI in Business Applications Course Outline
Module 1: Understanding AI Models – Predictive Analytics & Recommendations
- Learn how predictive analytics forecasts demand and reduces churn.
- Explore recommendation systems, from collaborative filtering to content-based methods.
- Discover AI applications across marketing, operations, and logistics.
Module 2: Automating Workflows with AI
- Simplify repetitive tasks using Robotic Process Automation (RPA).
- Integrate AI seamlessly with ERP and CRM systems.
- Real-world examples: automate invoice processing and document classification.
Module 3: AI in Customer Engagement
- Master chatbots: rule-based vs. conversational AI.
- Harness sentiment analysis to understand and improve customer feedback.
- Elevate customer support and personalization with AI-driven insights.
Module 4: Pre-Built AI Services – Azure, AWS, and Google
- Dive into Azure Cognitive Services for language, vision, and decision-making tools.
- Explore AWS AI tools like Rekognition, Polly, and Lex.
- Leverage Google AI tools: Natural Language API, Vision API, and AutoML.
- Compare tools for ease of use, scalability, and cost-effectiveness.
- Location – Leeds, UK
- Duration – 12 Days
- Timing – 9:00 to 17:00
- Price – £4350
- Duration – 12 Days
- Timing – 9:00 to 17:00
- Price – £3930
What’s Included in the AI in Business Applications Course:
- Flexible Learning/Flexible Delivery
- Access self-paced online modules, live instructor-led sessions, and interactive case studies.
- Learn through real-world business scenarios with hands-on AI applications.
- Exam Preparation
- Get practice tests, study guides, and expert-led revision sessions to reinforce key concepts.
- Receive personalized feedback and tips for exam success.
- Certification
- Earn an industry-recognized AI in Business Applications certification upon successful completion.
- Showcase your expertise with a verifiable digital credential.
Prerequisites for AI in Business Applications Course
- Basic Understanding of Business Operations: Familiarity with marketing, customer engagement, and operations concepts.
- Interest in AI Technologies: No technical expertise required but a keen interest in AI applications is essential.
- Comfort with Data: Basic understanding of data usage in decision-making is recommended.
- Curiosity for Innovation: Eagerness to explore AI-driven tools and strategies.
Each participant of this course will have to attend and pass one project and one exam to complete the module and attain the certification.
Module Project (50%)
- Duration: Throughout the course
- Type: Practical project based on the contents of the module-AI-Driven Solution for a Business Problem
- Identifying a Real-World Problem: Inventory optimization, customer churn.
- Designing a Solution: Selecting tools, setting objectives, and implementation plan.
- Pass mark: 65%
Certification Exam (50%)
- Duration: 60 minutes
- Type: 40 multiple choice questions
- Pass mark: 65% (26/40)