Build Real-World AI That Matters
Our Program Aims To
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What you’ll Learn
This course covers a solid foundation in Python programming, emphasizing practical skills essential for software development and data analysis. The curriculum encompasses Python essentials like data structures, object-oriented programming, and libraries such as Numpy and Pandas for data manipulation. Additionally, it delves into web scraping, REST API development, and asynchronous task handling using Celery.
Prerequisites and Eligibility
This course is open to learners from all educational and professional backgrounds. No prior programming experience is required — beginners and experienced learners alike can benefit.
This course offers a comprehensive foundation in SQL, focusing on practical skills essential for data querying, management, and analysis. The curriculum covers core SQL concepts such as database design, normalization, writing complex queries, joins, subqueries, and aggregations. Learners will also gain hands-on experience with relational database management systems (RDBMS) like MySQL or PostgreSQL.
Prerequisites and Eligibility
This course is open to learners from all educational backgrounds and skill levels. It is designed to support both beginners and those with prior experience in databases or programming.
This course provides a comprehensive introduction to data science and machine learning, covering supervised and unsupervised learning techniques including linear regression, decision trees, clustering algorithms, and ensemble methods. Participants learn model selection, evaluation, and optimization strategies, along with essential concepts in probability, statistics, feature engineering, and preprocessing for machine learning tasks.
Prerequisites and Eligibility
This course welcomes learners of all educational backgrounds and skill levels. However, proficiency in Python is a prerequisite, and a basic understanding of mathematics would be an advantage.
This course provides a comprehensive overview of deep learning, spanning from foundational concepts like neural networks to advanced techniques such as CNNs, RNNs, and GANs. Participants gain practical experience in gradient computation and explore applications like object detection and speech data processing.
Prerequisites and Eligibility
This course welcomes learners of all educational backgrounds and skill levels. However, proficiency in Machine Learning is a prerequisite, and a basic understanding of mathematics would be an advantage.
This course provides a thorough journey through the fundamentals and applications of Natural Language Processing (NLP), spanning from basic text processing techniques to advanced topic modeling methods. Additionally, it covers the practical insights into content recommendation systems and dimensionality reduction techniques for enhancing the understanding of real-world NLP challenges and solutions.
Prerequisites and Eligibility
This course welcomes learners of all educational backgrounds and skill levels. However, proficiency in Machine Learning is a prerequisite, and a basic understanding of mathematics would be an advantage.
This course progresses from fundamental concepts to more advanced topics in DSA, ensuring a smooth learning curve. Each topic is accompanied by practice problems and exercises to reinforce learning and problem-solving skills.
Prerequisites and Eligibility
This course welcomes learners of all educational backgrounds and skill levels. However, basic understanding of programming and mathematics is a prerequisite.
Dataiku certifications are highly regarded in the data science and analytics industry. This course will cover the fundamental concepts and functionalities of Dataiku DSS and guide you through the process of designing and building end-to-end data pipelines.
Prerequisites and Eligibility
This course welcomes learners of all educational backgrounds and skill levels. However, basic understanding of Data Science is a prerequisite.
We provide opportunities to delve into passion projects with a focus on creating positive social change. Through these projects, learners will not only enhance their technical skills but also gain valuable experience in applying data science methodologies to address real-world social issues.
Prerequisites and Eligibility
For the passion project component, eligibility is limited to students enrolled in the full-time 6-month program, while those enrolled for individual courses are not eligible. This requirement ensures a comprehensive immersion in data science principles and practices, preparing participants to undertake impactful projects.
Program Highlights
Hands on Learning
Get your hands dirty with real-world datasets. From wrangling raw data to uncovering insights, you’ll learn through doing, using the same tools top data teams rely on.Expert Mentorship
Learn from 30+ seasoned mentors who’ve built models, pipelines, and careers across sectors. They’ll help you sharpen your logic, frame hypotheses, and think like a researcher.Technical Excellence
Tackle meaningful problems that blend statistics, code, and context. You’ll work on projects that serve communities, NGOs, and public policy.Real world Projects
Choose from 30+ industry-relevant Data Science projects that apply Machine Learning, NLP, LLMs, Deep Learning, Computer Vision, and more, offering hands-on experience solving real-world problemsFAQs
- Does registration mean we are enrolled in the internship?
No, registration does not confirm your enrollment in the internship. The applicant must have to clear the aptitude test and successfully clear the interview round.
- When will the internship start?
The internship will commence in the first week of July for July-Dec batch and in the first week of Jan for Jan-June batch . Selected candidates will receive onboarding letters detailing the exact start date via their registered email addresses.
- Is the internship paid?
No, the internship is not paid. The interns will not receive financial compensation for their work during the internship.
- What will be the fee for the internship?
This internship involves no fees; it is fully funded by Sabudh.
- Is the internship online or offline?
The internship is conducted online.
- Is there placement support after the internship?
No, direct placement is not provided after the internship. However, we offer guidance on where you can apply for opportunities, and we organize expert sessions to help you prepare for interviews.
- What will be the medium of communication throughout he program?
The medium of communication will primarily be through email.
- How many seats are available for the program?
We can accommodate approximately 200 interns, but the exact number depends on the performance of applicants in the aptitude test and their performance during the interview. Additionally, applicants who cannot commit time for the internship on weekdays are generally not considered.
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- Can I change my Educollab password?
Yes, you can change your Educollab password by clicking on “forgot my password,” providing your email, and following the instructions.
- I am not able to navigate to the aptitude test tab. What should I
do?
To navigate to the assessment tab, follow the steps:Steps to attempt the assessment:
- Login to your educollab account
- Search for Sabudh Workshop (Jan – Jun 2026)
- Navigate to the assessments tab
- Can I change my Educollab password?
- I can see the course but I am not able to access the content?
Make sure you have subscribed to the course.
- I don’t have the educollab credentials. How should I attempt the aptitude test?
If you have just registered for the course, you have to wait for at least 48 hours for the credentials. If it’s been more than 48 hours, You need to search for eduuollab in your email box, the credentials should be there. If still not received, you should write to the admin at admin.info@sabudh.org
- I applied for the Data Science internship, should I attend the Python workshop also?
Attending the Python workshop is not mandatory, but it can help you in clearing the aptitude test. Since Python is a part of Data Science, attending workshops on both Python and Data Science is beneficial.
- I missed the aptitude test, will I get a second chance?
No, there is no second chance if you miss the aptitude test. It’s advised to regularly check your registered email for updates, and you can also join our WhatsApp group for better communication.
- Are the assignments shared after the workshops mandatory to
attempt?
Assignments shared after the workshops are not mandatory, but it’s recommended to attempt and submit them as practice.
- What is the next step after the aptitude test?
The next step after the aptitude is the final interview.
- What are the passing marks for the aptitude test?
The passing marks for the aptitude will be determined after evaluating the responses. We will set a cut-off based on the total number of candidates who participated in the aptitude and their performance.
- Where can I find the course content of the workshops?
All sessions conducted during the workshops will be recorded and made available on our learning platforms; Educollab. Those who have registered for the internship or joined our WhatsApp group (details provided in the automated email after registration) will be granted access to Educollab credentials for viewing the content.
- Are these workshops conducted offline or online?
Workshops will be held online.
- How can I best prepare for the aptitude test? Which topics should I
prioritize to ensure success?
To prepare effectively for the aptitude test, focus on understanding the fundamental of data science, logical reasoning, critical reading and basic mathematics.
- Will the aptitude test be offline or online?
The aptitude test will be conducted online and will be uploaded on our learning platform, Educollab. Applicants will be notified via email about the date and timing of the aptitude test to ensure they can easily attempt it.
- Will academic performance be taken into account during the selection process?
We do not directly consider academic marks for the internship selection process. However, candidates with very poor academic records or pending supplies ma not be considered for the internship.
- How are interns selected after registration?
After registration, applicants will receive an automated email containing important dates and a link to our official WhatsApp group. We will conduct awareness workshops on Pthon and Data Science, which registered/ non-registered candidates can join to gain insights into the six-month learning journey. Following the workshops, we will roll out an aptitude test. Applicants who score above the cut-off will be invited for interviews. Those who successfully clear the interview will receive onboarding letters.
- What will be the basis of the interview assessment?
The interviews will primarily assess our fundamental understanding of Programming and mathematics. However, candidates with knowledge of the field for which they are applying for internship will be at an advantage.
- Who is eligible for this program?
Individuals who have a full 6-months training period in college or can dedicate full-time availability for 6 months are best suited for this course.
- What is the prerequisite for this program?
A basic understanding of programming and mathematics is a prerequisite for this program.
- Is attendance compulsory during the live sessions?Yes, attendance is compulsory during live sessions.
- If I miss the session, will I get lecture resources?Yes, all the live sessions are recorded and uploaded to our learning platform, Educollab, for easy access.
- What is the expected time commitment for the program?Learners are expected to commit a minimum of 48 hours per week to successfully complete the program
- Can I enroll in just one course, such as Machine Learning or Python?Yes, you can enroll in individual courses, provided you meet the prerequisites for each course. For specific prerequisites, please refer to the brochure, where learning paths are outlined.
- What are the timings of live sessions?Our live sessions typically commence at 8:00 am, with 2-3 classes scheduled each day, each lasting around 1-1:30 hours.
- Besides live classes, what other commitments are there during the course?In addition to the live classes, active participation is required in weekly catch-up sessions with the administration, project mentor, and routine mentors. Additionally, there may be expert sessions, participation in these expert sessions is compulsory.
- What will be the duration of the project?The duration of the project is 6 months.
- Will the project be a live project?Yes, the project will be a live project.
- Will I get the option to choose a project of my interest, or will it be allocated by Sabudh only?Projects will be allocated based on your interest and availability.
- Will the project be teamwork or individual?Projects may be either teamwork or individual, depending on the project requirements.
- Will I be allocated a guide/mentor for the projects?Yes, a guide/mentor will be allocated for the projects.
- I am doing this internship to submit a project in college, can I submit the same project?Yes, you can submit the same project results for your college requirements. However, please note that the codes are copyrighted by Sabudh. Additionally, when submitting, ensure to acknowledge that the project was a result of teamwork, and you are presenting it as your individual effort.
- Will I receive a certificate after completing the internship?Yes, you will receive a certificate of completion.
- Will the certificate hold value if presented to companies?Absolutely, the certificate will hold significant value as proof of completion and will bear the logos of Sabudh Foundation and STPI.
