Course Title Artificial Intelligence Enroll Now! Register here Level Duration Price Certificate All Levels 6 Weeks (3 hours per week) 5,600 AED Bharat Academy Education Certified – KHDA – AIAL – Royal Institute for Chartered Engineer – RICE (USA) Course Info Key Highlights Target Audience Course Duration: 6 Weeks (3 hours per week) Final Project: AI Strategy Proposal for Your Business Participants will develop an AI strategy proposal for a specific business problem, including use cases, tools, and implementation steps, based on their learnings throughout the course. Learning Outcomes: By the end of this course, participants will: Understand the fundamental concepts of AI and its applications in business. Be able to identify key AI technologies and their use cases. Learn how to use AI for decision-making, customer engagement, and operational efficiency. Gain practical insights on how to implement AI strategies in their organizations. Week 1: Introduction to AI and Business Overview of Artificial Intelligence Definition and key concepts of AI Types of AI: Narrow AI, General AI, and Superintelligence Brief history and evolution of AI AI in Business The role of AI in business today Key benefits of AI for businesses (automation, personalization, decision-making) AI Use Cases Across Industries Finance, Healthcare, Retail, Manufacturing, Marketing, and Logistics Case studies of successful AI implementations in business Week 2: Key AI Technologies for Business Machine Learning (ML) Supervised vs. Unsupervised Learning Common ML algorithms used in business (Linear Regression, Decision Trees, etc.) Real-world applications in marketing, finance, and operations Natural Language Processing (NLP) Overview of NLP and its business applications Chatbots, sentiment analysis, and customer service automation Computer Vision Overview of computer vision in business Visual search, quality control, and facial recognition use cases Week 3: AI for Data-Driven Decision Making The Role of Data in AI Importance of data collection, preparation, and analysis Data sources: Structured vs. Unstructured data AI in Predictive Analytics Understanding predictive models for business forecasting Applications in sales predictions, customer behavior, and demand planning AI for Business Intelligence (BI) How AI enhances traditional BI tools Real-time analytics and AI-driven decision support systems Week 4: AI in Customer Experience and Marketing Personalization with AI AI-driven customer segmentation and targeting Personalized recommendations and dynamic pricing models AI-Powered Marketing Automation AI tools for customer engagement (CRM, email marketing, social media) Optimizing ad campaigns with AI Customer Service Automation AI chatbots and virtual assistants AI-based sentiment analysis and customer feedback loops Week 5: AI for Operational Efficiency Process Automation with AI Robotic Process Automation (RPA) and AI for automating repetitive tasks AI in supply chain optimization, procurement, and inventory management AI in Human Resources AI for talent acquisition and recruitment (resume screening, AI interviews) Employee performance and engagement analysis using AI AI for Financial Operations AI applications in financial forecasting, fraud detection, and risk management Week 6: Implementing AI Strategies in Business Building an AI Strategy Steps to developing an AI strategy for your business Identifying the right use cases and ROI assessment AI Tools and Platforms Introduction to AI platforms (Google AI, IBM Watson, Microsoft Azure AI) Overview of AI software and services for businesses Ethics, Data Privacy, and AI Regulations Ethical considerations in AI adoption Navigating data privacy laws and AI compliance (GDPR, CCPA) The Future of AI in Business Emerging trends in AI technologies Preparing for the AI-driven business landscape Business professional Executives Managers Entrepreneurs Decision-makers interested in integrating AI into their organizations.