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Exploring AI Operations: Strategies For Testing And Deploying Intelligent Systems For Success (TTAI2130)
Navigating Advanced AI For Deploying Intelligent
Uncover the full potential of AI for organisational growth with Vinsys' Exploring AI Operations: Strategies For Testing And Deploying Intelligent Systems For Success (TTAI2130) 2-day short-term program. Throughout the training, we emphasise the practical application of AI, em
Exploring AI Operations: Strategies For Testing And Deploying Intellig
Understand the advantages of AI for businesses.
Hands-on experience in applications of AI.
Unlock work opportunities in the AI field.
Course Overview
Artificial Intelligence is overpowering in every sphere. With the use of AI technology, businesses have reduced their work management pressure, improved quality, and predicted future growth. Looking at the constantly growing demand for well-trained artificial intelligence (AI) and machine learning (ML) experts, we have introduced this short-term AI Operations (TTAI2130) course. This practical course will introduce you to AI and ML lifecycle, operations, testing, evaluation, and maintenance.
The comprehensive course module covers how to evaluate AI model goodness, testing AI in an operational environment, implementation of AI, and AI lifecycle. Our experts take help of case studies to provide you with deeper understanding of the technology. We will assign you a cloud project to assess your skills and generate confidence to apply the technology in real-world scenarios.
The AI testing lifecycle is all about developing, validating, and deploying AI to get the best technology output for your business. We familiarize you with various testing techniques to evaluate AI model quality in an operational environment. At the same time, you will learn to handle AI system failures.
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Course Objectives
After joining this AI Operations (TTAI2130) course, you will:
- Understand the potential of AI applications for smooth, fast, and error-free operations within the organisation.
- Learn how AI applications improve your decision-making skills through the analysis of data.
- Evaluate and develop skills in designing and executing effective test plans for the quality and performance of AI systems.
- Develop the skills for integrating and deploying AI models in the real world to improve accuracy in daily operations.
- Examine the AI model's performance using key metrics such as accuracy, precision, recall, and F1 score.
- Assess the operational fit of AI models and learn to balance performance, cost, and complexity.
- Understand security and ethical considerations in AI to ensure that AI is developed and used responsibly, upholding transparency.
- Learn the challenges with AI technology integration, testing, and deployment.
- Examine the use of an AI model to pick the right one for a business.
Target Audience
We recommend this program to:
- Software developers and engineers
- IT managers
- Project Managers
- Business Analysts
- Operations Managers
- Test Engineers
- Quality Assurance Analysts
- Data Scientists and Analysts
Eligibility Criteria
There is no formal eligibility to apply for this course. It is suitable for professionals interested in developing, deploying, and managing AI models.
Course Outline
Module 1. Introduction to AI
- What is AI?
- Types of AI: Narrow AI vs. General AI
- Popular AI and ML algorithms
- AI vs. Machine Le
- AI applications in various industries
Module 2. AI and ML in the current lifecycle
- State of AI and ML today
- Future potential
- Recent advancements and limitations
Module 3. AI in Operations
- Operational use cases for AI
- Identifying potential AI applications in your organisation
- Integrating AI into existing workflows
- AI-driven decision making
Module 4. Implementing and testing AI in companies
- Activity: Designing a test plan for a hypothetical AI application
- Case studies of successful AI implementations
- Overcoming common challenges during AI implementation and testing
- Test cases from real-world AI rollouts
Module 5. AI testing lifecycle
- Activity: Identifying key testing milestones in an AI project
- Development, validation, and deployment phases
- Overview of the AI testing lifecycle
- Ensuring AI model quality and reliability
Module 6. Testing AI in an operational environment
- Preparing the test environment
- Activity: Creating a test environment for a hypothetical AI application
- Monitoring AI system performance
- Types of tests for AI systems
- Handling AI system failures and updates
Module 7. Evaluating AI model goodness and performance metrics
- Key performance metrics for AI models
- Determining the operational fit of AI models
- Activity: Evaluating a sample AI model using performance metrics
- Balancing performance, complexity, and cost
Module 8. Security and ethical considerations
- Strategies for ensuring AI security and ethics
- Security concerns in AI implementations
- Ethical Considerations in AI and ML
Module 9. Resources and next steps
- Continued learning resources
- Closing discussion and feedback
- How to stay updated on AI developments
- Online courses, books, and communities
About the Certification
Exploring AI Operations: Strategies For Testing And Deploying Intelligent Systems For Success (TTAI2130) Certification
Upon completing this course, you will receive the Exploring AI Operations certification, a powerful tool to demonstrate your AI testing and deploying skills. This certification will not only pave your career path in AI and open doors to new and exciting opportunities.
Choose Your Preferred Mode
Online Training
- Giving you the freedom to learn at your own pace.
- Easy-to-navigate interface to join our instructor-led training.
- Get instant help from our expert trainers on doubtful topics.
- Tailored training to meet your career goals.
Corporate Training
- Offering training through live webinars and case studies to apply knowledge effectively.
- Using advanced learning progress monitoring tools to help learners stay on track.
- Helping businesses to train employees to deal with change management.
- Arranging recorded sessions for revision and self-paced study.
FAQ’s
Why should I choose Vinsys for the TTAI2130 course?
Various reasons make Vinsys one of the best online destinations for this AI program.
- Subject-focused course modules
- Personalised learning experience
- Training from the industry’s experts
- Regular updates of the course module to provide up-to-date knowledge
- Access to course materials at any time
What is the length of this program?
TTAI2130, Exploring AI Operations: Strategies For Testing And Deploying Intelligent Systems For Success is a two-day program that provides an in-depth practical understanding of artificial intelligence.
Is this program designed for beginners?
If you are interested in machine learning and artificial intelligence, you can enrol in this course. To confirm your eligibility, please reach out to our team who will guide you through the process.
How do you provide this program?
At Vinsys, you can choose your learning mode. We deliver this course through instructor-led training, private group training, and virtual instructor-led training. We also offer a self-paced study mode so you can complete the program at your convenience.
What are the career opportunities after this Exploring AI Operations: Strategies For Testing And Deploying Intelligent Systems For Success course?
This course will help you make your career in AI technology as an AI tester, data scientist, AI quality analyst, AI ethical specialist, or in various other positions.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
It is high time for every IT manager to embrace AI technology to improve performance and efficiency and to find personal and professional growth. My journey into the world of AI has been a revelation, and this two-day program was a pivotal moment in my quest to learn more about this advanced technology.
Jyoti VermaOperations Manager
Despite undertaking this course through self-paced study, the experience was as enriching as any instructor-led training. The comprehensive notes, recorded videos, and prompt responses made the complex AI testing lifecycle understandable and applicable in real-world scenarios.
Prachi JainTest Engineer
It is Vinsys that recommended this program to our business analysts. The impact has been profound, with noticeable improvements in decision-making, data collection, management, and various other services of our workforce.
Shubham ThakurSoftware developers
We have acquired proficiency in validating and deploying AI models. The course provides an in-depth understanding of various testing methods for AI systems.
Riya RathiQuality Assurance Analysts
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