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Significance of Research and Innovation for UG and PG Students 

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Significance of Research and Innovation for UG and PG Students  Significance of Research and Innovation for UG and PG Students  Description Research is the key to innovation and progress! Whether you’re an undergraduate or postgraduate student, understanding the world of research can open doors to endless opportunities. If you’ve ever wondered how to turn your academic projects into impactful research, this webinar is for you! Dr. Sita Rani Postdoc, PhD – CSE, Recognized as Top 2% Scientist by Stanford University Key Objective Introduction to Research Work – Understanding the basics of research. Project vs. Research-Based Project – Key differences and why research matters. How to Start Research in 2nd Year – Step-by-step guidance for beginners. Checking Novelty & Originality – How to ensure your work is unique. Converting Projects into Research Papers – A roadmap to publication. 📢 This is a FREE Webinar! Only 100 Participants Allowed! Register Now on our Website! Saturday 1.5 hour Registration Queries 📧 Email: support@gudsky.com📱 WhatsApp: 8420536631 Join us and take the first step towards your research journey! 📚🌟 Course Details: Course Price: Free Instructor Dr. Sita Rani Lesson Duration 1.5 hours Language: Hinglish Digital Certification based on attendance and survey Register Now

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Research Opportunity

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Gudsky's Research Intake Program​ Home – Course Details About the Program 📌 NOT Training Program. Instead, it emphasizes: Research and development of innovative solutions. Creating prototypes and case studies. Building a research-oriented environment. The Gudsky’s Research Intake Program is designed to provide UG and PG students with an opportunity to engage in structured research projects under expert mentorship. This program focuses on real-world research, guiding students from problem identification to publication in fields such as AI, ML, NLP, and Computer Vision. We believe research-based learning enhances problem-solving, critical thinking, and innovation skills. Eligibility Criteria Open to Undergraduate (UG) and Postgraduate (PG) students. Selection is based on resume evaluation, interview, and technical assessment. Program Duration & Research Timelines Each research proposal has a different duration depending on its complexity. Students will be informed about the expected duration upon selection. Possible Research Durations: 6 Months 9 Months 1 Year 1.5 Year Research Domains & Specializations Student Selected students will work on cutting-edge research in the following areas: Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning & Neural Networks Natural Language Processing (NLP) Computer Vision & Image Processing Robotics & Autonomous Systems Cybersecurity & AI in Security Data Science & Big Data Blockchain & AI Ethics Program Selection Process. Fill Out the Google Form • Click on the Google Form link (provided on the official website). • Enter your personal and academic details (Name, Phone Number, Email, College, Course, Semester, Branch, etc.). • Upload your Resume/CV in the form. • Ensure all details are accurate and complete before submitting. Resume Screening & Skill Matching • The Gudsky HR & Technical Team will review applications. • If your skills align with a research paper, you will move to the next stage. Interview & Technical Session • Shortlisted students will receive a call from Gudsky. • You will go through an interview & technical assessment to evaluate: ✅ Your research capabilities. ✅ Problem-solving & analytical thinking. ✅ Subject knowledge in AI, ML, and related fields. Research Paper Assignment • Upon clearing the interview, you will be assigned a research paper. • You will receive all necessary paper details and research guidelines. Registration & Confirmation • After receiving your research paper assignment, click on the “Register” button. • Complete the registration process as per the given instructions. • Upon successful registration, you will receive a confirmation email with further details. • Your assigned mentor will schedule an initial meeting to begin your research work. Start the Research Program • Sign the Non-Disclosure Agreement (NDA) to maintain research confidentiality. • Begin working on your assigned research project under expert mentorship. • Follow the provided research timeline and submit regular progress reports. Fill the Form We Will Guide You ! Research Methodology Paper Writing & Formatting Literature Review Data Analysis & Experiment Design Research Submission & Outcome Final Research Submission & Outcomes: Students must submit a final research report. Selected research papers will be published in reputed journals. Outstanding research papers will be presented at conferences. Patent Filing Assistance: Gudsky provides support for students with innovative research ideas that qualify for patents.  Exclusive Webinars & Research Talks: Students will get access to expert sessions on research trends, methodologies, and AI innovations. Additional Benefits: Hands-on Research Experience – Work on real-world research problems. Collaboration with Research Communities – Engage with national & international research networks. Career Guidance & Research Roadmap – Personalized mentorship for research careers and higher studies. Benefits Offer Letter – Official confirmation of selection into the program. Project Completion Certificate – Certifying successful research completion. Networking Opportunities – Connect with researchers, industry experts, and mentors. Paper Presenter Certificate – For students who present at Gudsky events or conferences. Paper Publication Certificate – Official recognition for publishing research. Expectations from Selected Students: Dedicate a minimum of 6-8 hours per week to research work. Maintain professional ethics and confidentiality. Submit monthly progress reports. Attend all mandatory mentorship sessions. Follow assigned research timelines & guidelines. Research confidentiality is our top priority: Confidentiality & Compliance   Every student must sign a Non-Disclosure Agreement (NDA) before starting the project. Any misuse, plagiarism, or unauthorized sharing of research work is strictly prohibited and will result in immediate disqualification. Students are not allowed to change the assigned research topic once selected. 📌 Failure to comply with research ethics may result in permanent removal from the program. FAQ The Gudsky Research Intake Program is a structured research initiative for undergraduate (UG) and postgraduate (PG) students to work on real-world research projects under expert mentorship in AI, ML, NLP, Computer Vision, and related fields. Can I withdraw from the program after selection? Yes, but it is advised to commit fully before applying as withdrawal affects research continuity. What happens if I fail to comply with the research guidelines? Violating research ethics may lead to permanent removal from the program. Can I share my research findings outside the program? No, unauthorized sharing, plagiarism, or misuse of research work is strictly prohibited and may result in disqualification. Is there any confidentiality agreement? Yes, all selected students must sign a Non-Disclosure Agreement (NDA) before starting their research. Will my research be published? Selected research papers will be published in reputed journals. Outstanding research may also be presented at conferences. Can I choose my research topic? No, topics are assigned based on your skills and program selection process. Who is eligible to apply? UG and PG students from any recognized university are eligible. Selection is based on resume evaluation, interview, and technical assessment. Course Details: Mentorship Weekly mentorship sessions Letters Offer Letter Cerificates Project Completion Certificate Networking Opportunities Paper Presenter Certificate Paper Publication Certificate Recommendation LinkedIn Recommendation Letter of Recommendation (LOR) Places for Students 12 Language: English, Hindi Certifications Digital, Physical Register Now Fill the Form

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Natural Language Processing

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7-Week Intensive Curriculum on Natural Language Processing 7-Week Intensive Curriculum on Natural Language Processing (NLP) Description Are you ready to master the mathematical concepts essential for AI and Machine Learning? This 6-week hands-on workshop is designed to help UG & PG students build a strong mathematical foundation while applying concepts practically using Python. Unlike traditional theory-based courses, this program emphasizes real-world implementation, ensuring you gain the skills necessary for AI and ML applications. Through live interactive sessions, you’ll explore Linear Algebra, Calculus, Probability, and Optimization—the core pillars of AI/ML. You’ll also work with NumPy, Matplotlib, and data handling techniques, making you proficient in Python for ML. Each week includes quizzes and coding exercises, keeping your progress on track. The course culminates in a hands-on project, where you’ll apply everything you’ve learned to build an ML model. With mentorship, live Q&A, and a certificate of completion, this workshop is your gateway to excelling in AI & ML. Start your journey today!  Seshan S With extensive experience in AI, Machine Learning, and Deep Learning, I have worked as a Summer Research Intern at IISc Bangalore and NIT Trichy, gaining hands-on expertise in cutting-edge AI applications. As an AI Developer at Rex Industries, I have applied ML and DL techniques to solve real-world challenges. My skills include Python, C/C++, SQL, TensorFlow, PyTorch, OpenCV, and Scikit-Learn, along with expertise in Git, Jupyter, and Google Colab. I have worked on impactful projects like early detection of neurodegenerative disorders and AI-powered assistive devices, with research published in IEEE and Springer Journals. Excited to mentor and guide AI enthusiasts! Key Objective Build Expertise in NLP: Gain a deep understanding of core NLP concepts, models, and tools. Hands-On Experience: Implement real-world NLP tasks such as text classification, sentiment analysis, and sequence labelling. Work with Advanced Models: Get practical experience with state-of-the-art NLP models, including transformers and RNNs. Develop Real-World Applications: Learn to integrate NLP techniques into practical applications across industries like healthcare, finance, and social media. Research Focus: Understand how to approach NLP research and contribute to cutting-edge academic studies. Key Outcomes: Comprehensive Skill Set: Be proficient in preprocessing, modelling, and advanced NLP techniques. Industry-Ready: Be equipped to build and deploy NLP-based solutions in real-world applications. Hands-On Projects: Develop a portfolio of projects showcasing your ability to implement NLP techniques. Research Capabilities: Gain the skills necessary for conducting independent NLP research and publishing findings. Advanced NLP Knowledge: Have a strong foundation in both theoretical and applied NLP to pursue careers in AI, research, and development. Saturday 3 hour Sunday 3 hour FAQ Who can enroll in this workshop? This workshop is open to everyone interested in building a strong mathematical foundation for AI and ML. While it is specially designed for UG and PG students (1st-4th year), professionals and AI/ML enthusiasts can also join. Whether you’re a beginner or have some prior knowledge, this course will help you grasp essential concepts with hands-on Python implementation. Do I need prior experience in AI/ML to join? No prior experience in AI/ML is required! However, basic programming knowledge (preferably in Python) will be helpful. The workshop starts with fundamental concepts and gradually moves to advanced topics, ensuring that all students can follow along effectively. Course Details: Course Price: ₹699 Instructor Seshan S Lesson Duration 6 Weeks Language: English Certifications Digital Buy Course

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Natural Language Processing

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Research Training Program 6 week course Apply To Enroll 12 Class Duration 40 Hour Course Badge Course Certificate Batch Start : —- Seshan S Instructor  5/5 ₹ 699/- Take This Course Book Your Seat About Course Human Interface Guidelines The Human Interface Guidelines (HIG) ensure intuitive, accessible, and consistent digital experiences. They emphasize clarity, efficiency, and responsiveness in design. Key principles include structured navigation, readable typography, high-contrast visuals, and optimized performance. Adhering to WCAG standards, these guidelines enhance usability, inclusivity, and engagement across all Gudsky Research Foundation platforms. Certification Participants who successfully complete the 6-week intensive course offered by Gudsky Research Foundation will receive a Certificate of Completion. To qualify, they must attend at least 75% of live interactive classes, complete weekly quizzes with a minimum passing score, and successfully submit and present the capstone project. The certificate, officially issued by Gudsky Research Foundation (registered under MCA, Govt. of India), is recognized in research and industry, includes course details and achievements, and features a verifiable unique certificate ID. Certificates will be emailed, and a downloadable PDF version will be available via the Gudsky Learning Portal. This certification enhances resumes, research portfolios, and LinkedIn profiles, demonstrating expertise in Python, Machine Learning, AI Research, NLP, and Data Science. Learning Outcomes Comprehensive Skill Set: Be proficient in preprocessing, modeling, and advanced NLP techniques. Industry-Ready: Be equipped to build and deploy NLP-based solutions in real-world applications. Hands-On Projects: Develop a portfolio of projects showcasing your ability to implement NLP techniques. Research Capabilities: Gain the skills necessary for conducting independent NLP research and publishing findings. Advanced NLP Knowledge: Have a strong foundation in both theoretical and applied NLP to pursue careers in AI, research, and development. Share Now : Facebook-f Whatsapp Instagram X-twitter Related Courses Research Training Program 6 week course Apply To Enroll 12… Read More Research Training Program 6 week course Apply To Enroll 12… Read More Master Machine Learning 6 week course Apply To Enroll 12… Read More Master Python for Research & Data Science 6 week course… Read More Load More

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Research Training Program

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Research Training Program! Research Training Program! Description Are you ready to master the mathematical concepts essential for AI and Machine Learning? This 6-week hands-on workshop is designed to help UG & PG students build a strong mathematical foundation while applying concepts practically using Python. Unlike traditional theory-based courses, this program emphasizes real-world implementation, ensuring you gain the skills necessary for AI and ML applications. Through live interactive sessions, you’ll explore Linear Algebra, Calculus, Probability, and Optimization—the core pillars of AI/ML. You’ll also work with NumPy, Matplotlib, and data handling techniques, making you proficient in Python for ML. Each week includes quizzes and coding exercises, keeping your progress on track. The course culminates in a hands-on project, where you’ll apply everything you’ve learned to build an ML model. With mentorship, live Q&A, and a certificate of completion, this workshop is your gateway to excelling in AI & ML. Start your journey today!  Seshan S With extensive experience in AI, Machine Learning, and Deep Learning, I have worked as a Summer Research Intern at IISc Bangalore and NIT Trichy, gaining hands-on expertise in cutting-edge AI applications. As an AI Developer at Rex Industries, I have applied ML and DL techniques to solve real-world challenges. My skills include Python, C/C++, SQL, TensorFlow, PyTorch, OpenCV, and Scikit-Learn, along with expertise in Git, Jupyter, and Google Colab. I have worked on impactful projects like early detection of neurodegenerative disorders and AI-powered assistive devices, with research published in IEEE and Springer Journals. Excited to mentor and guide AI enthusiasts! Key Objective Master Research Methodology: Learn the foundational concepts and techniques for conducting impactful research. Explore Advanced NLP: Dive into advanced topics, from theory to application, and understand the latest trends in NLP research. Understand NLP Applications: Explore how NLP is transforming industries and its real-world applications. Study Computer Vision: Get hands-on experience with cutting-edge research and the latest techniques in computer vision. Combine NLP & Computer Vision: Learn how to integrate these two fields for innovative, cross-disciplinary research projects. Finalize Your Research Topic: Select and develop a unique research project that showcases your expertise. Key Outcomes: Gain a solid understanding of research methodologies and cutting-edge AI techniques. Build advanced expertise in NLP and Computer Vision, preparing you for real-world challenges. Collaborate with peers and mentors to develop a unique research project. Receive certificates upon completion, showcasing your specialized knowledge in AI research. Saturday 3 hour Sunday 3 hour FAQ Who can enroll in this workshop? This workshop is open to everyone interested in building a strong mathematical foundation for AI and ML. While it is specially designed for UG and PG students (1st-4th year), professionals and AI/ML enthusiasts can also join. Whether you’re a beginner or have some prior knowledge, this course will help you grasp essential concepts with hands-on Python implementation. Do I need prior experience in AI/ML to join? No prior experience in AI/ML is required! However, basic programming knowledge (preferably in Python) will be helpful. The workshop starts with fundamental concepts and gradually moves to advanced topics, ensuring that all students can follow along effectively. Course Details: Course Price: ₹699 Instructor Seshan S Lesson Duration 6 Weeks Language: English Certifications Digital Buy Course

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Research Training Program

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Research Training Program 6 week course Apply To Enroll 12 Class Duration 40 Hour Course Badge Course Certificate Batch Start : —- Seshan S Instructor  5/5 ₹ 699/- Take This Course Book Your Seat About Course Human Interface Guidelines The Human Interface Guidelines (HIG) ensure intuitive, accessible, and consistent digital experiences. They emphasize clarity, efficiency, and responsiveness in design. Key principles include structured navigation, readable typography, high-contrast visuals, and optimized performance. Adhering to WCAG standards, these guidelines enhance usability, inclusivity, and engagement across all Gudsky Research Foundation platforms. Certification Participants who successfully complete the 6-week intensive course offered by Gudsky Research Foundation will receive a Certificate of Completion. To qualify, they must attend at least 75% of live interactive classes, complete weekly quizzes with a minimum passing score, and successfully submit and present the capstone project. The certificate, officially issued by Gudsky Research Foundation (registered under MCA, Govt. of India), is recognized in research and industry, includes course details and achievements, and features a verifiable unique certificate ID. Certificates will be emailed, and a downloadable PDF version will be available via the Gudsky Learning Portal. This certification enhances resumes, research portfolios, and LinkedIn profiles, demonstrating expertise in Python, Machine Learning, AI Research, NLP, and Data Science. Learning Outcomes Master Research Methodology: Learn the foundational concepts and techniques for conducting impactful research. Explore Advanced NLP: Dive into advanced topics, from theory to application, and understand the latest trends in NLP research. Understand NLP Applications: Explore how NLP is transforming industries and its real-world applications. Study Computer Vision: Get hands-on experience with cutting-edge research and the latest techniques in computer vision. Combine NLP & Computer Vision: Learn how to integrate these two fields for innovative, cross-disciplinary research projects. Finalize Your Research Topic: Select and develop a unique research project that showcases your expertise. Share Now : Facebook-f Whatsapp Instagram X-twitter Related Courses Research Training Program 6 week course Apply To Enroll 12… Read More Master Machine Learning 6 week course Apply To Enroll 12… Read More Master Python for Research & Data Science 6 week course… Read More Master Mathematics for Machine Learning & AI! 6 week course… Read More

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Master Machine Learning

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Master Machine Learning Machine Learning Description Are you ready to master the mathematical concepts essential for AI and Machine Learning? This 6-week hands-on workshop is designed to help UG & PG students build a strong mathematical foundation while applying concepts practically using Python. Unlike traditional theory-based courses, this program emphasizes real-world implementation, ensuring you gain the skills necessary for AI and ML applications. Through live interactive sessions, you’ll explore Linear Algebra, Calculus, Probability, and Optimization—the core pillars of AI/ML. You’ll also work with NumPy, Matplotlib, and data handling techniques, making you proficient in Python for ML. Each week includes quizzes and coding exercises, keeping your progress on track. The course culminates in a hands-on project, where you’ll apply everything you’ve learned to build an ML model. With mentorship, live Q&A, and a certificate of completion, this workshop is your gateway to excelling in AI & ML. Start your journey today!  Seshan S With extensive experience in AI, Machine Learning, and Deep Learning, I have worked as a Summer Research Intern at IISc Bangalore and NIT Trichy, gaining hands-on expertise in cutting-edge AI applications. As an AI Developer at Rex Industries, I have applied ML and DL techniques to solve real-world challenges. My skills include Python, C/C++, SQL, TensorFlow, PyTorch, OpenCV, and Scikit-Learn, along with expertise in Git, Jupyter, and Google Colab. I have worked on impactful projects like early detection of neurodegenerative disorders and AI-powered assistive devices, with research published in IEEE and Springer Journals. Excited to mentor and guide AI enthusiasts! Key Objective Python for ML: Master essential libraries (NumPy, Pandas, Matplotlib, Scikit-learn) Supervised Learning: Regression & Classification (Linear Regression, Decision Trees, SVM) Unsupervised Learning: Clustering, Dimensionality Reduction (K-Means, PCA) Advanced ML Techniques: Ensemble Learning, Hyperparameter Tuning, Feature Engineering Deep Learning Basics: Neural Networks, CNNs, and TensorFlow/PyTorch Model Deployment: Deploy ML models using Flask & FastAPI Key Outcomes: ✔ Build, train, and evaluate ML models from scratch✔ Gain practical experience with industry-standard tools✔ Work on a Capstone Project to add to your portfolio✔ Get a Certificate of Completion✔ Enhance your job prospects in AI & Data Science Saturday 3 hour Sunday 3 hour FAQ Who can enroll in this workshop? This workshop is open to everyone interested in building a strong mathematical foundation for AI and ML. While it is specially designed for UG and PG students (1st-4th year), professionals and AI/ML enthusiasts can also join. Whether you’re a beginner or have some prior knowledge, this course will help you grasp essential concepts with hands-on Python implementation. Do I need prior experience in AI/ML to join? No prior experience in AI/ML is required! However, basic programming knowledge (preferably in Python) will be helpful. The workshop starts with fundamental concepts and gradually moves to advanced topics, ensuring that all students can follow along effectively. Course Details: Course Price: ₹699 Instructor Seshan S Lesson Duration 6 Weeks Language: English Certifications Digital Buy Course

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Master Machine Learning

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Master Machine Learning 6 week course Apply To Enroll 12 Class Duration 40 Hour Course Badge Course Certificate Batch Start : —- Seshan S Instructor  5/5 ₹ 699/- Take This Course Book Your Seat About Course Human Interface Guidelines The Human Interface Guidelines (HIG) ensure intuitive, accessible, and consistent digital experiences. They emphasize clarity, efficiency, and responsiveness in design. Key principles include structured navigation, readable typography, high-contrast visuals, and optimized performance. Adhering to WCAG standards, these guidelines enhance usability, inclusivity, and engagement across all Gudsky Research Foundation platforms. Certification Participants who successfully complete the 6-week intensive course offered by Gudsky Research Foundation will receive a Certificate of Completion. To qualify, they must attend at least 75% of live interactive classes, complete weekly quizzes with a minimum passing score, and successfully submit and present the capstone project. The certificate, officially issued by Gudsky Research Foundation (registered under MCA, Govt. of India), is recognized in research and industry, includes course details and achievements, and features a verifiable unique certificate ID. Certificates will be emailed, and a downloadable PDF version will be available via the Gudsky Learning Portal. This certification enhances resumes, research portfolios, and LinkedIn profiles, demonstrating expertise in Python, Machine Learning, AI Research, NLP, and Data Science. Learning Outcomes Python for ML: Master essential libraries (NumPy, Pandas, Matplotlib, Scikit-learn) Supervised Learning: Regression & Classification (Linear Regression, Decision Trees, SVM) Unsupervised Learning: Clustering, Dimensionality Reduction (K-Means, PCA) Advanced ML Techniques: Ensemble Learning, Hyperparameter Tuning, Feature Engineering Deep Learning Basics: Neural Networks, CNNs, and TensorFlow/PyTorch Model Deployment: Deploy ML models using Flask & FastAPI Share Now : Facebook-f Whatsapp Instagram X-twitter Related Courses Master Machine Learning 6 week course Apply To Enroll 12… Read More Master Python for Research & Data Science 6 week course… Read More Master Mathematics for Machine Learning & AI! 6 week course… Read More

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Master Python for Research & Data Science

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Master Python for Research & Data Science Master Python for Research & Data Science Description Are you ready to master the mathematical concepts essential for AI and Machine Learning? This 6-week hands-on workshop is designed to help UG & PG students build a strong mathematical foundation while applying concepts practically using Python. Unlike traditional theory-based courses, this program emphasizes real-world implementation, ensuring you gain the skills necessary for AI and ML applications. Through live interactive sessions, you’ll explore Linear Algebra, Calculus, Probability, and Optimization—the core pillars of AI/ML. You’ll also work with NumPy, Matplotlib, and data handling techniques, making you proficient in Python for ML. Each week includes quizzes and coding exercises, keeping your progress on track. The course culminates in a hands-on project, where you’ll apply everything you’ve learned to build an ML model. With mentorship, live Q&A, and a certificate of completion, this workshop is your gateway to excelling in AI & ML. Start your journey today!  Seshan S With extensive experience in AI, Machine Learning, and Deep Learning, I have worked as a Summer Research Intern at IISc Bangalore and NIT Trichy, gaining hands-on expertise in cutting-edge AI applications. As an AI Developer at Rex Industries, I have applied ML and DL techniques to solve real-world challenges. My skills include Python, C/C++, SQL, TensorFlow, PyTorch, OpenCV, and Scikit-Learn, along with expertise in Git, Jupyter, and Google Colab. I have worked on impactful projects like early detection of neurodegenerative disorders and AI-powered assistive devices, with research published in IEEE and Springer Journals. Excited to mentor and guide AI enthusiasts! Key Objective Provide a strong foundation in Python programming for research and data-driven applications. Teach efficient numerical computing with NumPy for handling large datasets. Enable students to analyze and manipulate data using Pandas for research and industry projects. Develop data visualization skills with Matplotlib to present insights effectively. Prepare students for real-world problem-solving through hands-on exercises and a capstone research project. Key Outcomes: 🔹 Proficiency in Python for research, data science, and AI applications.🔹 Ability to process and analyze large datasets using NumPy & Pandas.🔹 Expertise in data visualization to create impactful research reports.🔹 Understanding of research methodologies through coding-based problem-solving.🔹 A final project to showcase your skills in real-world data analysis and boost your research portfolio. Saturday 3 hour Sunday 3 hour FAQ Who can enroll in this workshop? This workshop is open to everyone interested in building a strong mathematical foundation for AI and ML. While it is specially designed for UG and PG students (1st-4th year), professionals and AI/ML enthusiasts can also join. Whether you’re a beginner or have some prior knowledge, this course will help you grasp essential concepts with hands-on Python implementation. Do I need prior experience in AI/ML to join? No prior experience in AI/ML is required! However, basic programming knowledge (preferably in Python) will be helpful. The workshop starts with fundamental concepts and gradually moves to advanced topics, ensuring that all students can follow along effectively. Course Details: Course Price: ₹699 Instructor Seshan S Lesson Duration 6 Weeks Language: English Certifications Digital Buy Course

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Master Python for Research & Data Science

course /

Master Python for Research & Data Science 6 week course Apply To Enroll 12 Class Duration 40 Hour Course Badge Course Certificate Batch Start : —- Seshan S Instructor  5/5 ₹ 699/- Take This Course Book Your Seat About Course Human Interface Guidelines The Human Interface Guidelines (HIG) ensure intuitive, accessible, and consistent digital experiences. They emphasize clarity, efficiency, and responsiveness in design. Key principles include structured navigation, readable typography, high-contrast visuals, and optimized performance. Adhering to WCAG standards, these guidelines enhance usability, inclusivity, and engagement across all Gudsky Research Foundation platforms. Certification Participants who successfully complete the 6-week intensive course offered by Gudsky Research Foundation will receive a Certificate of Completion. To qualify, they must attend at least 75% of live interactive classes, complete weekly quizzes with a minimum passing score, and successfully submit and present the capstone project. The certificate, officially issued by Gudsky Research Foundation (registered under MCA, Govt. of India), is recognized in research and industry, includes course details and achievements, and features a verifiable unique certificate ID. Certificates will be emailed, and a downloadable PDF version will be available via the Gudsky Learning Portal. This certification enhances resumes, research portfolios, and LinkedIn profiles, demonstrating expertise in Python, Machine Learning, AI Research, NLP, and Data Science. Learning Outcomes Proficiency in Python for research, data science, and AI applications. Ability to process and analyze large datasets using NumPy & Pandas. Expertise in data visualization to create impactful research reports. Understanding of research methodologies through coding-based problem-solving. A final project to showcase your skills in real-world data analysis and boost your research portfolio. Share Now : Facebook-f Whatsapp Instagram X-twitter Related Courses Master Python for Research & Data Science 6 week course… Master Mathematics for Machine Learning & AI! 6 week course…

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