Automation with Artificial Intelligence @ Singapore

Wed Dec 04 2024 at 09:30 am to 05:30 pm UTC+08:00

61 Robinson Rd | Singapore

CASUGOL
Publisher/HostCASUGOL
Automation with Artificial Intelligence @ Singapore
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Learn how to design, implement, and integrate AI-driven automation solutions across various workflows and evaluate the performance of AI
About this Event

For more information: https://casugol.com/course/aai

International Acclaimed Certification. 5-Star Reviews

Suitable for everyone. Learn in an Interactive, Supportive, and Encouraging Environment.


  • Duration: 8 hours
  • Certification: Participants will receive a Certificate of Completion upon completing the course


Course Objective



  • Acquire practical knowledge and skills in core concepts of automation and artificial intelligence, and their role in streamlining workflows.
  • Learn how to design, implement, and integrate AI-driven automation solutions across various workflows, evaluate the performance of AI models and automation systems, and apply optimization strategies for better outcomes.


Examination



NA



Module 1 – Introduction to Data Preparation and Management
  • importance of Data in AI-Driven Automation
  • Types of Data: Structured, Unstructured, and Semi-structured
  • Data Sources: Public Datasets, Proprietary Data, and APIs
  • Key Concept: The Impact of High-quality Data on AI Model Performance
  • Data Cleaning and Preprocessing Techniques using Python
  • Handling Missing Values, Outliers, and Noise
  • Data Normalization and Standardization Techniques
  • Feature Selection, Extraction, and Engineering for AI



Module 2 - Advanced Data Management Techniques
  • Data Validation, Consistency Checks, and Dealing with Incomplete data
  • Techniques for Improving Data Accuracy and Reliability
  • Importance of Metadata and Proper Documentation
  • Data Storage and Management for Automation
  • ETL vs. ELT
  • Cloud-based Data Storage Solutions (AWS, Google Cloud, Azure)



Module 3 - Introduction to AI-Driven Automation Solutions
  • Robotic Process Automation (RPA) vs. Intelligent Process Automation (IPA)
  • Overview of AI Use Cases in Automation (e.g., Predictive Maintenance, Customer Support Automation)
  • Key Components of AI-driven Automation Systems
  • Identifying Tasks for Automation
  • Creating Flowcharts and Designing AI-driven Workflows
    Best practices for Integrating AI into Existing Business Workflows



Module 4 - Building and Training AI Models for Automation
  • Basics of Machine Learning Models: Supervised vs. Unsupervised Learning
  • Common AI Algorithms Used in Automation
  • Preparing Datasets for Model Training: Splitting into Training, Validation, and Test Sets
  • Building Simple Machine Learning Models for Automation (e.g., regression, classification) using Python
  • Training and Testing Models using Python Frameworks



Module 5 - Evaluating AI-Driven Automation Solutions
  • Key Performance Metrics for AI-driven Automation (Accuracy, Precision, Recall, F1-Score)
  • Model Validation Techniques: Cross-Validation, A/B Testing, and Confusion Matrix
  • Bias and Fairness in AI Models
  • Methods to Measure the Effectiveness of AI Automation on Workflows
  • Monitoring AI Models and Workflows in Real Time



Module 6 - AI Model Optimization Techniques
  • Fine-tuning Hyperparameters for Better Model Performance
  • Techniques for Optimizing Large-scale Automation Solutions
  • Implementing Feedback Loops for Continuous Improvement

Be Recognized as a CASUGOL Certified Professional

Add Value to your already prolific portfolio with a Certificate of Completion from CASUGOL.

Awarded upon completing and meeting all requirements of the course.


Event Photos
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Event Venue & Nearby Stays

61 Robinson Rd, 61 Robinson Road, Singapore, Singapore

Tickets

SGD 309.25

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