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As artificial intelligence continues to revolutionize industries, concerns over its environmental impact are growing. Green AI emerges as a critical field that focuses on improving the efficiency, energy use, and sustainability of AI systems. This self-paced, in-depth course is designed for AI practitioners, data scientists, ML engineers, researchers, and decision-makers who want to integrate environmental consciousness into their AI workflows.
While conventional AI development focuses solely on performance (accuracy, speed, precision), Green AI introduces efficiency and energy use as core evaluation metrics. This includes building smaller models with similar accuracy, using less compute-intensive algorithms, optimizing training and inference processes, and leveraging hardware-aware deployment strategies.
This course introduces the principles and practices of Green AI, covering the lifecycle of AI—from data selection and training to deployment and monitoring—with a focus on sustainability. You will explore case studies, compare carbon footprints of different model architectures, and implement green techniques such as pruning, quantization, distillation, and data-efficient learning.
What is Green AI?
Green AI refers to the development of AI systems that are energy-efficient, computationally affordable, and environmentally sustainable. It challenges the current paradigm of ever-larger models trained on massive datasets and instead promotes innovations that reduce resource consumption without compromising performance.
This course empowers you to:
Identify environmental trade-offs in AI design.
Choose efficient models and algorithms.
Implement green ML practices using modern tools and frameworks.
Advocate for sustainable AI within your organization.
How to Use This Course
Follow the Pathway – Begin with environmental metrics and proceed through design, development, training, and deployment strategies.
Hands-On Exercises – Implement pruning, quantization, and distillation in real models.
Compare Trade-offs – Learn to balance model accuracy, inference speed, and environmental cost.
Project-Oriented Learning – Apply what you learn in capstone projects (e.g., energy-efficient image classification).
Use Tools & Metrics – Learn to use tools like CodeCarbon, MLCO2, and NetZero AI Toolkit to measure and optimize emissions.
Deploy with Efficiency – Practice deploying sustainable AI models using edge devices and low-energy cloud options.
Join the Movement – Be part of the growing Green AI ecosystem by exploring policy, ethics, and open-source projects.
Course/Topic 1 - Coming Soon
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.
Upon completion of this course, you will receive a Certificate of Completionfrom Uplatz that affirms your proficiency in sustainable AI development. This certificate signifies not only your ability to implement high-performing AI models but also your awareness and application of energy- and resource-efficient practices. As organizations and governments increasingly look to reduce their carbon footprint, professionals trained in Green AI are becoming vital. This certification will strengthen your position as a forward-thinking developer, ML engineer, or data scientist prepared to tackle future AI challenges sustainably. The certificate reflects both your theoretical understanding and hands-on experience in optimizing machine learning pipelines for energy and computational efficiency. Whether you are applying for roles in AI research, production ML teams, or environmental tech firms, this certification is a valuable addition to your professional profile and demonstrates your commitment to responsible AI.
Green AI is not just a research trend—it’s a professional imperative. As enterprises and institutions adopt AI at scale, they are facing increasing pressure to align with sustainability goals, ESG frameworks, and regulatory standards. This course positions you at the forefront of this emerging discipline.
Roles in which Green AI skills are highly relevant include:
Machine Learning Engineer
AI Research Scientist
Model Optimization Engineer
MLOps and DevOps Engineer
Responsible AI Analyst
AI Sustainability Consultant
Edge AI Developer
Green AI expertise enhances your value in any AI team, especially in organizations that process large models or deploy ML to millions of devices. It’s particularly vital in sectors like healthcare, fintech, agriculture, climate science, telecom, and embedded systems where compute efficiency directly affects performance and cost.
With the rise of climate-conscious funding, green data centers, and AI regulatory frameworks, companies are seeking professionals who can reduce AI costs and emissions without sacrificing model accuracy. Startups and research labs are also investing in Green AI innovation, creating a surge in specialized roles.
Freelancers and consultants can position themselves as “AI optimization experts”, helping clients streamline and scale their AI efforts efficiently.
1. What is Green AI? Green AI refers to the practice of designing AI systems that minimize energy consumption, carbon emissions, and computational waste.
2. How is Green AI different from Red AI? Red AI prioritizes accuracy without considering cost or environmental impact; Green AI emphasizes accuracy and efficiency together.
3. What are some tools to measure energy usage of ML models? CodeCarbon, MLCO2 Emissions Tracker, and Carbontracker are popular tools for tracking emissions and compute costs.
4. What is model pruning? Pruning removes less important weights or neurons from a trained model to reduce size and inference time with minimal loss in accuracy.
5. How does quantization help in Green AI? Quantization reduces the precision of weights (e.g., from 32-bit to 8-bit), cutting memory and power use during inference.
6. What is knowledge distillation? It’s a technique where a smaller model (student) learns to mimic a larger model (teacher), achieving similar performance with fewer resources.
7. Why is deployment important in Green AI? Deployment affects runtime energy consumption, especially when models are served to millions of users or edge devices.
8. How can data efficiency reduce environmental impact? By reducing the volume of data needed to train models, techniques like active learning reduce energy-intensive computations.
9. What is the role of edge devices in Green AI? Edge devices reduce the need for cloud communication, lowering latency and saving energy by running models locally.
10. How can AI teams integrate Green AI principles? By monitoring emissions, using efficient models, optimizing pipelines, and aligning with sustainability KPIs and ESG goals.
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.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
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.