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Exploring AI Operations: Strategies for Testing and Deploying Intelligent Systems for Success
Description
Exploring AI Operations Introduction
Unlock the full potential of AI for your organization with our comprehensive two-day course, “Exploring AI Operations.” Designed to emphasize the value of AI in operations, this course offers practical guidance on testing AI systems and provides insights into real-world AI deployment strategies.
Gain an understanding of AI applications, focusing on how AI can be used to streamline operations, improve decision-making, and optimize workflows.
In “Exploring AI Operations,” dive into the fundamentals of AI and explore how it can revolutionize operations, decision-making, and workflows. This course emphasizes the practical application of AI, moving beyond the theoretical aspects of algorithms and functionality.
You’ll explore the AI testing lifecycle, learn how to evaluate AI model performance, and understand how to maintain security and ethical considerations. By the end of the training, you’ll be equipped to harness AI’s power to drive operational excellence and effectively test and deploy AI systems.
Course Objectives
Upon completion, you’ll learn how to:
- Identify and evaluate potential AI applications to enhance operations.
- Design and execute test plans for AI systems, ensuring their successful integration and deployment.
- Navigate the AI testing lifecycle, ensuring the reliability and quality of AI systems.
- Evaluate AI model performance using key metrics.
- Understand the importance of security and ethical considerations in AI.
Prerequisites
To be successful in this course, you should have:
- A basic understanding of technology systems in business operations.
- Familiarity with data analysis and interpretation.
- Problem-solving and critical thinking skills.
Audience
This course is ideal for professionals involved in technology solutions development, testing, deployment, or management, and is especially beneficial for:
- Test Engineers and Quality Assurance Analysts
- IT Managers and Project Managers
- Business Analysts and Operations Managers
- Software Developers and Engineers
- Data Scientists and Analysts
Exploring AI Operations Course Outline
Day 1
Introduction to AI
- What is AI?
- AI vs Machine Learning
- Types of AI: Narrow AI vs. General AI
- Popular AI and ML algorithms
- AI applications in various industries
AI and ML in the Current Lifecycle
- State of AI and ML today
- Recent advancements and limitations
- Future potential
AI in Operations
- Operational use cases for AI
- Integrating AI into existing workflows
- AI-driven decision making
- Identifying potential AI applications in your organization
Implementing and Testing AI in Companies
- Case studies of successful AI implementations
- Test cases from real-world AI rollouts
- Overcoming common challenges during AI implementation and testing
- Activity: Designing a test plan for a hypothetical AI application
Day 2
AI Testing Lifecycle
- Overview of the AI testing lifecycle
- Development, validation, and deployment phases
- Ensuring AI model quality and reliability
- Activity: Identifying key testing milestones in an AI project
Testing AI in an Operational Environment
- Preparing the test environment
- Types of tests for AI systems
- Monitoring AI system performance
- Handling AI system failures and updates
- Activity: Creating a test environment for a hypothetical AI application
Evaluating AI Model Goodness and Performance Metrics
- Key performance metrics for AI models
- Determining the operational fit of AI models
- Balancing performance, complexity, and cost
- Activity: Evaluating a sample AI model using performance metrics
Security and Ethical Considerations
- Security concerns in AI implementations
- Ethical considerations in AI and ML
- Strategies for ensuring AI security and ethics
Resources and Next Steps
- Continued learning resources
- Online courses, books, and communities
- How to stay updated on AI developments
- Closing discussion and feedback
$1895.00
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2 Days Course |