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2 Months/20 Hour Price:85,000
80,000
Using A.I. Tools with Business Use Cases Practical Training
This course, “Using AI Tools for Business: Practical Training,” is designed to equip professionals with the practical knowledge and skills to integrate AI tools effectively into their business operations. From automating routine tasks to enhancing decision-making processes, AI has the potential to transform various aspects of business. This course will guide you through real-world applications, hands-on exercises, and best practices for leveraging AI to achieve business goals.
Key Learnings
Students will be able to use AI tools to improve business communication, generate creative content, and analyze data.
They will understand how to effectively incorporate AI into their business and marketing strategies for improved results.
Mastery of various AI tools for diverse business applications.
Course Content
Module 1: Introduction to AI and Business
Overview of AI and its applications
Business benefits of using AI
Case studies: successful AI implementations in various industries
Module 2: Data Preparation and Cleaning
Data quality and importance in AI
Techniques for data preparation and cleaning
Use case: Preparing customer data for predictive analytics
Module 3: Machine Learning Fundamentals
Introduction to Machine Learning Algorithms
Supervised and unsupervised learning
Regression, classification, clustering, and decision trees
Module 4: Natural Language Processing (NLP)
Introduction to NLP and its applications
Text processing, sentiment analysis, and entity recognition
Use case: Sentiment analysis for customer feedback analysis
Module 5: Computer Vision
Introduction to computer vision and its applications
Image processing, object detection, and facial recognition
Use case: Image classification for product categorization
Module 6: Predictive Analytics
Introduction to Predictive Analytics
Regression models, decision trees, and clustering
Use case: Predictive maintenance for equipment failure prevention
Module 7: Deep Learning
Introduction to deep learning
Neural networks, convolutional neural networks, and recurrent neural networks
Use case: Image classification for self-driving cars
Module 8: Business Use Cases
Customer segmentation using clustering
Sentiment analysis for customer feedback analysis
Predictive maintenance for equipment failure prevention
Supply chain optimization using machine learning
Chatbots for customer service
Module 9: Implementation and Deployment
Choosing the right AI tool for your business
Data preparation and cleaning for AI implementation
Model deployment and monitoring
Use case: Implementing a chatbot for customer service
Module 10: Ethical Considerations and Responsible AI
Ethics in AI development and deployment
Fairness, transparency, and explainability in AI systems
Use case: Addressing bias in AI-driven decision-making
Target Audience
Business professionals looking to integrate AI into their operations.
Managers and executives aiming to enhance their decision-making capabilities.
Marketing and sales teams interested in leveraging AI for better customer insights.
Entrepreneurs and startups seeking to innovate with AI technology.
Is anyone interested in gaining practical skills in using AI tools for business applications?
International Student Fees: USD300$
Job Interview Preparation (Soft Skills Questions & Answers)
Stay connected even when you’re apart
Internships, Freelance and Full-Time Work opportunities
Flexible Class Options
Week End Classes For Professionals SAT | SUN
Corporate Group Training Available
Online Classes – Live Virtual Class (L.V.C), Online Training
Related Courses
Diploma Artificial Intelligence
Introduction to Artificial Intelligence- AI for beginners
Artificial Intelligence (AI) Master Course
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