Data Labeling Course: AI & Machine Learning Annotation Training
Master the art of data labeling with our dynamic course designed to equip you with the expertise needed for AI and ML projects. Learn best practices, quality control measures, and practical tools like Diffgram to enhance your data annotation skills.
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Corporate Pricing
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Training Provider Pricing
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What you'll learn
- Develop skills in importing/exporting samples and creating resources for efficient data labeling.
- Implement continuous evaluation methods to maintain the integrity of labeled datasets.
- Understand the fundamentals of data labeling and its importance in AI/ML.
- Learn about different types of data labeling: Computer Vision, NLP, Audio Processing.
- Adopt best practices to create intuitive labeling interfaces and achieve consensus among labelers.
- Ensure high-quality and accurate labeled datasets through effective management strategies.
- Master data annotation techniques for effectively identifying features in training datasets.
- Gain hands-on experience with Diffgram for building custom annotation interfaces and managing workflow.
Why should you attend?
Data labeling is an essential process in the development of machine learning (ML) and artificial intelligence (AI) systems, providing the structured information that algorithms require to learn from. This course delves into the intricacies of data labeling, covering its definition, methodologies, and significance in AI and ML. Participants will gain insights into the various types of data labeling, including computer vision, natural language processing (NLP), and audio processing. Best practices are emphasized to ensure intuitive task interfaces, labeler consensus, thorough label auditing, and the incorporation of active learning strategies. The course also explores data annotation techniques and their pivotal role in identifying features within training data for ML models. Quality control and accuracy are addressed in detail, highlighting effective management and training strategies for data labelers. Practical application is provided through sessions on using Diffgram for data labeling tasks such as installation, building custom interfaces, managing data inputs/outputs, and leveraging machine learning frameworks. Lastly, participants will learn about the critical aspects of handling labeled data including importing/exporting samples, creating resources for labelers, submitting requests, and continuously evaluating labeled datasets.
Course Syllabus
Day 1
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Ratings and Reviews
Instructor
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
Instructor
Instructor
Course Reviews
"I've learned a lot from this course. The instructor was eager to address individual inquiries, which was quite beneficial. Thank you for your patience. "
"A good course. The instructor was quite knowledgeable."
"I was really impressed with the course's quality as well as the management. I hope to attend another one."
"Best course and good material, I might apply at my workspace."
FAQ
Frequently Asked Questions About This Course
Why should you attend?
Data labeling is an essential process in the development of machine learning (ML) and artificial intelligence (AI) systems, providing the structured information that algorithms require to learn from. This course delves into the intricacies of data labeling, covering its definition, methodologies, and significance in AI and ML. Participants will gain insights into the various types of data labeling, including computer vision, natural language processing (NLP), and audio processing. Best practices are emphasized to ensure intuitive task interfaces, labeler consensus, thorough label auditing, and the incorporation of active learning strategies. The course also explores data annotation techniques and their pivotal role in identifying features within training data for ML models. Quality control and accuracy are addressed in detail, highlighting effective management and training strategies for data labelers. Practical application is provided through sessions on using Diffgram for data labeling tasks such as installation, building custom interfaces, managing data inputs/outputs, and leveraging machine learning frameworks. Lastly, participants will learn about the critical aspects of handling labeled data including importing/exporting samples, creating resources for labelers, submitting requests, and continuously evaluating labeled datasets.
What you'll learn
- Develop skills in importing/exporting samples and creating resources for efficient data labeling.
- Implement continuous evaluation methods to maintain the integrity of labeled datasets.
- Understand the fundamentals of data labeling and its importance in AI/ML.
- Learn about different types of data labeling: Computer Vision, NLP, Audio Processing.
- Adopt best practices to create intuitive labeling interfaces and achieve consensus among labelers.
- Ensure high-quality and accurate labeled datasets through effective management strategies.
- Master data annotation techniques for effectively identifying features in training datasets.
- Gain hands-on experience with Diffgram for building custom annotation interfaces and managing workflow.
Course Syllabus
Day 1
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Course Reviews
"I've learned a lot from this course. The instructor was eager to address individual inquiries, which was quite beneficial. Thank you for your patience. "
"A good course. The instructor was quite knowledgeable."
"I was really impressed with the course's quality as well as the management. I hope to attend another one."
"Best course and good material, I might apply at my workspace."
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructors
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
FAQ
Frequently Asked Questions About This Course
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