I, Shradha Raj, completed the Fundamentals of Data Annotation using Python course at NIELIT Muzaffarpur and found it very useful. I learned key concepts such as data labeling, tagging, annotation techniques, dataset preparation, and quality control. The practical classes helped me understand the topics better, including how annotation is used in machine learning and computer vision tasks. The trainers were supportive and explained everything clearly.
Overall, it was a good learning experience and helped me build a basic understanding of data annotation workflows. I recommend this course to beginners who want to learn data labeling and related technical skills.
I, Rishu Raj, completed the Data Annotation course at NIELIT Muzaffarpur and found it very helpful. I learned important concepts of data labeling, tagging, and annotation. The practical sessions made the topics easy to understand. The trainers were friendly, supportive, and explained everything clearly.
Overall, it was a valuable learning experience and helped me gain a basic understanding of data annotation. I would recommend this course to beginners who want to start learning data labeling and related skills.
I, Raushan Kumar, completed the Fundamentals of Data Curation using Python course at NIELIT Muzaffarpur and found it very useful. I learned basic concepts of data collection, cleaning, and organizing using Python. The practical classes helped me understand the topics better. The trainers were supportive and explained everything clearly. Overall, it was a good learning experience and helped me build a basic understanding of data curation. I recommend this course to beginners who want to learn Python and data handling.
I, Vanshika Agrawal, completed the Fundamentals of Data Annotation using Python course at NIELIT Muzaffarpur and found it very useful. I learned basic concepts of data labeling, tagging, and annotation. The practical classes helped me understand the topics better. The trainers were supportive and explained everything clearly.
Overall, it was a good learning experience and helped me build a basic understanding of data annotation. I recommend this course to beginners who want to learn data labeling and related skills.
I, Raja Kumar, completed the Foundation of Artificial Intelligence Technology course at NIELIT Muzaffarpur and found it very useful. I learned basic concepts of Artificial Intelligence, including machine learning, neural networks, data preprocessing, and model training. The practical classes helped me understand the topics better. The trainers were supportive and explained everything clearly.
Overall, it was a good learning experience and helped me build a basic understanding of AI technologies. I recommend this course to beginners who want to learn AI and related technologies.
I, Prabhat Kumar Ravi, completed the Fundamentals of Data Annotation using Python course at NIELIT Muzaffarpur and found it very useful. I learned basic concepts of data labeling, tagging, and annotation. The practical classes helped me understand the topics better. The trainers were supportive and explained everything clearly.
Overall, it was a good learning experience and helped me build a basic understanding of data annotation. I recommend this course to beginners who want to learn data labeling and related skills.
I, Wasim Ansari, completed the Fundamentals of Data Curation using Python course at NIELIT Muzaffarpur and found it very useful. I learned basic concepts of data collection, cleaning, and organizing using Python. The practical classes helped me understand the topics better. The trainers were supportive and explained everything clearly.
Overall, it was a good learning experience and helped me build a basic understanding of data curation. I recommend this course to beginners who want to learn Python and data handling.
Hello, my name is Shubhangi. I enrolled in the course Fundamentals of Data Curation using Python. Over the past month, I have gained valuable insights into Python, starting with its fundamental concepts. As the course progressed, I was introduced to various topics related to Artificial Intelligence and Data Science, which enhanced my understanding of these fields. I found this course to be highly informative and engaging. I would definitely recommend it to my friends and anyone interested in learning Python and data-related concepts.
My name is Anjali, and I enrolled in the course Fundamentals of Data Annotation using Python. Through this course, I gained a strong understanding of Python basics as well as the core concepts of data annotation, which involves the labeling of data for analysis and model training. The curriculum also introduced me to important Python libraries such as NumPy, Pandas, and Matplotlib, which are essential for data handling and visualization. The course was well-structured and provided a valuable learning experience. I truly enjoyed this course and would highly recommend it to anyone interested in building a foundation in data annotation and Python.
Hey! I’m Sneha Kumari from NIELIT Buxar. I just finished this “Foundation Course in Artificial Intelligence Applications,” and honestly, it was super fun and interesting.
We covered everything from basic AI stuff to cool advanced topics like NLP, computer vision, deep learning, and even speech recognition. What I really liked was all the hands-on exercises—made it way easier to understand than just reading theory.
Now I feel way more confident playing around with AI and trying new things.
Rahul Kumar, a student at NIELIT Buxar. I recently completed the “Foundation Course in Artificial Intelligence Applications,” and it was an amazing learning experience.
In this course, I learned everything from the basics of AI to advanced topics like NLP, heuristic search, speech recognition, computer vision, and deep learning.
What I liked the most was that it wasn’t just theory—we also did practical exercises and hands-on projects. After finishing this course, I feel much more confident and knowledgeable about AI.
I am Arya, a student of NIELIT Buxar. I completed the “Foundation of Artificial Intelligence Technology” course. I learned many AI topics like NLP, NLTK, Speech Recognition. The course included both theory and practical exercises. Now I feel more confident and ready to use AI.
I am Amitesh Kumar, a student of NIELIT Buxar. I completed the “Foundation Course in Artificial Intelligence Applications” course, and it was a great learning experience for me.
In this course, I learned AI from the basics to advanced topics like NLP, Heuristic Search, Speech Recognition, Computer Vision, Deep Learning.
The best part was that it was not just theory, we also had practical examples and hands-on exercises. After this course, my understanding and confidence in AI have improved a lot.
It was a wonderful learning experience where I developed skills in Python, NumPy, and Pandas, especially for data preprocessing tasks like handling missing values, removing duplicates, and filtering data. I also worked with real-world datasets from Kaggle, which made the learning more practical and engaging. This journey has motivated me to further explore and grow in the field of AI and Machine Learning. I’m truly grateful for this opportunity.
The overall experience of the foundation of AI technology Course at NIELIT Guwahati was great, highly comprehensive and provided hands -on practical skills. From this course we get not only theoretical but also practical exposure. It successfully provided a learning path from fundamentals to advanced generative AI.
The overall experience of the Foundation of AI Technology course at NIELIT Guwahati was excellent, highly comprehensive and provided invaluable hands-on practical skills. It successfully provided a thorough learning path from fundamentals to advanced generative AI. The practical perspective gained from this course has given me the confidence to apply these models in real-world scenarios.
Through this course Foundation of AI Technology I learned the fundamentals of Artificial Intelligence and how it is applied in real world problems. We explored important concepts such as Machine Learning and basic algorithms like Linear Regression. We were also introduced to Python Programming and its libraries. Overall, it has provided a strong foundation and helped me understand AI technologies are used in different applications today. It was a great learning experience and I appreciate the efforts of the team at NIELIT Guwahati.
During the Foundation of AI Technology Course I had an in-depth understanding on AI & ML which was very beneficial to me. Under the trainers guidance I had a wonderful experience in the class and would like to continue to learn further.
I learned the fundamental concept of Artificial Intelligence and its real-world applications. We studied Python programming for AI, including basic syntax and important libraries such as NumPy, Pandas, and Matplotlib. The course also covered machine learning concepts such as supervised and unsupervised learning, along with algorithms like linear regression and decision tree. We were also introduced to deep learning concepts like artificial neural network and convolutional neural network. In addition, we learned about natural language processing and computer vision basics, including image processing and object detection. Overall, this course helped me gain both theoretical knowledge and practical exposure to AI technologies. I would like to thank NIELIT Guwahati and the mentors for providing this valuable learning opportunity. Thank you.
I recently completed the Foundation of Artificial Intelligence Technology course at NIELIT Guwahati. We started with the ethics and the core concepts of AI and moved into hands-on programming with Python, focusing on libraries like NumPy and Pandas. We dove deep into machine learning fundamentals, exploring supervised and unsupervised learning, and then transitioned into more advanced territory like deep learning with CNNs.
This course gave me a great perspective on how models are used in the real world and it was highly rewarding. I feel much more confident in my technical abilities and ready to apply these AI foundations to future projects.
My experience with the Fundamentals of Data Annotation using Python program has been extremely valuable. Data annotation is a critical part of developing machine learning models, and this course provided a strong foundation in understanding how datasets are prepared and labeled for AI training.
A great course for students who want to start learning about artificial intelligence. The content was simple, informative, and well organized.
This course gave me a strong basic understanding of AI and how it is used in real life. I feel more confident exploring technology now.
My experience with the Foundation of Artificial Intelligence Technology program has been truly transformative. Before joining, I only had a basic understanding of technology and very little knowledge about artificial intelligence. This course provided a strong foundation by explaining complex AI concepts in a simple and practical way.
I learned the basics of Python and explored key concepts of Artificial Intelligence, Machine Learning, and Deep Learning. I also worked with libraries such as NumPy and Pandas for data preprocessing tasks, including handling missing values, removing duplicates, and filtering data. Datasets were collected from platforms like Kaggle, Mendeley, GitHub, and RoboFlow. We also connected SQLite3 databases to perform CRUD operations and created data visualizations using Matplotlib and PyPlot. Currently, I am working on a project titled Unemployment Trend Analysis and Prediction. I found the program as a valuable learning experience.
The course I attended, Fundamentals of Data Annotation using Python under India AI initiative was a very good experience for me.
In this program, I studied various Python-related functions and modules such as NumPy and Pandas. The training also covered different data annotation methods, including image annotation and video annotation. We used CVAT software to perform annotation tasks and also worked on several mini projects related to data annotation. Therefor I express gratitude for the opportunity to be part of this program.
I am very satisfied with this course "Foundation in AI Applications". This course is highly beneficial as I have learned several new skills and practical approaches that will be useful in my academic/professional work.
In this course, I learned the basics of Python, including concepts such as classes, variables, and functions. The training also covered important libraries like NumPy and Pandas, which are essential for data handling. I was introduced to data annotation using computer vision tools such as CVAT and LabelImg, and learned about different types of data annotation including image, audio, video, and text annotation. The course also included training on data preprocessing techniques. I found the course very informative and appreciated the practical sessions conducted during the program. I send my gratitude to the teachers for their guidance.
The training enhanced my understanding of how proper data curation improves the reliability of data-driven projects.
I learned important techniques for data cleaning, validation, and structuring datasets using Python tools.
I gained hands-on experience in data annotation workflows and learned how quality data improves machine learning models
The Fundamentals of Data Annotation using Python course gave me practical, hands-on experience in preparing and labeling datasets, helping me understand how high-quality data powers accurate AI and machine learning models
This training program provided clear and practical knowledge that was easy to understand.
The concepts were explained step-by-step with real examples.
The learning environment was supportive and engaging throughout the sessions.
I gained valuable skills that I can confidently apply in real situations.
Overall, it was a very helpful and career-boosting experience.
The course provided strong foundational and advanced knowledge.
Real-life examples made the concepts easier to grasp.
The trainer was knowledgeable and supportive.
I gained practical exposure that will help in my career.
I am very satisfied with the quality of this training.
The sessions were interactive and full of useful insights.
I appreciated the focus on both theory and practical knowledge.
The learning materials were clear and easy to revise.
It helped me improve my technical skills significantly.
Overall, it was a valuable and enriching experience.
This training exceeded my expectations in every way.
The instructor made complex topics simple and understandable.
Hands-on practice made the learning process more effective.
The support and guidance throughout the course were excellent.
I would definitely recommend this program to others.
The course structure was well-organized and easy to follow.
Each topic was explained with clarity and patience.
Practical sessions helped me understand real-world applications.
Doubts were resolved quickly and effectively.
I truly feel more confident after completing this training.
