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Synthetic Data: Generation, Applications, and Privacy-Enhanced AI

Learn to generate, evaluate, and apply synthetic data for AI development, privacy preservation, and robust machine learning.
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Course Duration: 10 Hours
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Synthetic Data – Online Course
 
Synthetic Data: Generation, Applications, and Privacy-Enhanced AI is an advanced, project-oriented course tailored for data scientists, AI researchers, ML engineers, privacy officers, and analytics professionals. In an era where data privacy laws (like GDPR, HIPAA, and CCPA) are tightening and access to real-world data is limited, synthetic data emerges as a powerful alternative.
 
Synthetic data is artificially generated data that mimics the statistical properties of real-world datasets without exposing actual sensitive information. It can be used to train machine learning models, test systems, simulate environments, and build scalable AI solutions while preserving user privacy and bypassing data scarcity challenges.
 
In this course, you'll learn how to generate synthetic data for structured tabular data, images, time-series, text, and video using tools like SDV (Synthetic Data Vault), CTGAN, Gretel.ai, Mostly AI, Unity, and Generative Adversarial Networks (GANs). You’ll explore real-world applications in healthcare, finance, autonomous driving, and security. You'll also assess the quality, privacy, and utility of synthetic datasets and understand when and how to apply them responsibly.
 
 
How to Use This Course
 
To make the most of this course:
  1. Start with the Foundations
    Understand why synthetic data matters, how it’s generated, and the trade-offs involved.
  2. Learn by Category
    The course separates generation techniques by data type: tabular, image, text, time-series, and video—allowing focused practice.
  3. Use Provided Datasets
    Work with anonymized or open datasets and then generate your own synthetic counterparts for training, testing, and experimentation.
  4. Evaluate Data Effectively
    Learn to assess the utility (for model training), privacy (against re-identification), and fidelity (statistical resemblance) of synthetic datasets.
  5. Build Real Projects
    From synthetic EHR data to fake license plate images, you'll complete hands-on projects that show practical application.
  6. Think Ethically and Securely
    Always evaluate how synthetic data can reduce bias, avoid leakage, and enable privacy-preserving machine learning.
This course enables you to build AI products and data pipelines without compromising sensitive user data—a critical capability in regulated industries.

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  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

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Course Objectives Back to Top
By the end of this course, learners will be able to:
 
  1. Understand what synthetic data is, how it's created, and why it's useful.
  2. Generate synthetic tabular data using probabilistic models and GANs.
  3. Create synthetic images and videos using advanced generative techniques.
  4. Use platforms like SDV, Gretel, and Unity for data synthesis.
  5. Evaluate the privacy, utility, and realism of synthetic datasets.
  6. Apply synthetic data in AI model training, testing, and validation.
  7. Understand legal, ethical, and compliance implications of using synthetic data.
  8. Reduce data bias and enhance data diversity using generation techniques.
  9. Integrate synthetic data into MLOps pipelines and production systems.
  10. Use synthetic data to enhance security testing and data augmentation.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to Synthetic Data
  • What is Synthetic Data?
  • Real vs. Synthetic vs. Anonymized
  • Use Cases and Industry Applications
Module 2: Foundations of Data Generation
  • Probabilistic Models
  • Rule-based Generators
  • Generative Adversarial Networks (GANs)
Module 3: Tabular Data Synthesis
  • SDV (Synthetic Data Vault)
  • CTGAN, TVAE, Gaussian Copulas
  • Project: Synthetic HR or Credit Card Dataset
Module 4: Image and Video Synthesis
  • GANs, StyleGAN, DeepFakes
  • Diffusion Models (DALL·E, Stable Diffusion)
  • Unity and Unreal for Synthetic Video Data
Module 5: Time-Series and Sensor Data
  • TimeGAN and Fourier GAN
  • Applications in Finance and IoT
  • Project: Synthetic ECG or Stock Market Data
Module 6: Text Data Generation
  • GPT-Based Text Synthesizers
  • Synthetic Chat Logs and Summaries
  • Evaluation with BLEU, ROUGE, and Perplexity
Module 7: Data Quality and Evaluation
  • Statistical Similarity (KS test, JS divergence)
  • Machine Learning Utility Tests
  • Privacy Metrics (Disclosure Risk, Re-identification Probability)
Module 8: Privacy and Ethics
  • Synthetic Data vs. Differential Privacy
  • Compliance with GDPR, HIPAA
  • Bias Mitigation and Fairness
Module 9: Project – Synthetic Medical Dataset
  • Generate Fake Patient Records
  • Validate ML Model Performance
  • Discuss Ethical Boundaries
Module 10: MLOps with Synthetic Data
  • Synthetic Data in CI/CD Pipelines
  • Testing AI Systems with Edge Cases
  • Data Augmentation Workflows
Module 11: Platforms and APIs
  • Gretel.ai, Mostly AI, Hazy
  • Unity Perception Toolkit
  • Integrations with AWS Sagemaker and Vertex AI
Module 12–14: Capstone Projects
 
  • Synthetic Face Recognition Dataset
  • Text-to-Text Chatbot Training Data
  • Autonomous Driving Simulation Data
Certification Back to Top

Upon completing the course, learners will receive a Synthetic Data Certification from Uplatz, verifying their ability to generate and evaluate synthetic datasets across domains. The certification confirms expertise in using synthetic data for machine learning, privacy-preserving applications, data augmentation, and testing. It highlights your readiness to work in AI-intensive roles within healthcare, fintech, autonomous systems, security, and analytics, where privacy and data availability are often constraints. It also demonstrates your proficiency in working with cutting-edge generative models and open-source platforms.

Career & Jobs Back to Top
Synthetic data is becoming an essential part of the AI and analytics pipeline, especially in industries where data access is limited, sensitive, or incomplete. Organizations need professionals who can generate realistic, high-utility data without compromising privacy.
 
Job roles you’ll qualify for:
  • Synthetic Data Engineer
  • Privacy-Preserving ML Specialist
  • Data Scientist (Healthcare/Finance/Robotics)
  • AI Test Engineer
  • Generative Modeling Researcher
  • Simulation Data Designer
Synthetic data is used in healthcare diagnostics, credit scoring, robotics, NLP, autonomous vehicles, and more. With regulatory concerns increasing, synthetic data expertise will be vital in AI product development, compliance strategies, and innovation pipelines.
Interview Questions Back to Top
1. What is synthetic data?
Synthetic data is artificially generated data that replicates the statistical properties of real datasets without exposing real records.
 
2. What are the main advantages of using synthetic data?
It protects privacy, improves data availability, enables secure testing, reduces bias, and facilitates model development without regulatory risks.
 
3. How is synthetic data different from anonymized data?
Anonymized data is derived from real datasets with identifiers removed; synthetic data is completely artificial and doesn’t originate from real users.
 
4. What is CTGAN and how does it work?
CTGAN is a GAN-based method designed to generate high-quality synthetic tabular data, handling both continuous and categorical variables.
 
5. What metrics are used to evaluate synthetic data?
Metrics include utility (model performance), fidelity (statistical similarity), and privacy (disclosure risk, uniqueness).
 
6. How can synthetic data be used to improve model fairness?
By balancing class distributions, simulating underrepresented groups, and reducing bias in training datasets.
 
7. What are ethical concerns in synthetic data generation?
Risks include generating harmful content, reinforcing bias, and misusing synthetic data for deception or fraud.
 
8. What is TimeGAN used for?
TimeGAN is a GAN architecture that generates realistic synthetic time-series data while preserving temporal dynamics.
 
9. Can synthetic data be used in production systems?
Yes, especially for model training, system testing, and edge-case simulations. However, performance should be validated.
 
10. What are some tools for generating synthetic data?
Tools include SDV, Gretel.ai, Mostly AI, Unity Perception Toolkit, DataGen, Synthea (for health), and custom GANs.
Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
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d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".

Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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