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Ethical and Effective Use of Generative AI in Research
Original price was: INR ₹4,999.00.INR ₹2,499.00Current price is: INR ₹2,499.00.
Ethical and Effective Use of Generative AI in Research is a Advanced-level, 60-90 minutes online program by NSTC. Master Generative AI, ethical AI, research workflow automation through hands‑on projects, real datasets, and expert mentorship. Earn your e‑Certification + e‑Marksheets in Generative AI for Research. Designed for researchers, PhD scholars, faculty and professionals seeking practical AI expertise in the AI department in India.
About the Generative Ai Research Course
This 3‑day intensive program equips researchers, PhD scholars, faculty, and professionals with the knowledge and skills to responsibly harness Generative AI in academic and scientific research.
You will explore practical applications—from literature review automation to AI‑assisted writing, data analysis, peer‑review automation, and workflow reproducibility—while addressing bias, hallucinations, academic integrity, and ethical best‑practice.
Program Highlights
• Comprehensive coverage of Ethical and Effective Use of Generative AI in Research from fundamentals to advanced applications
• Hands-on projects and real-world case studies in AI
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: OpenAI API, Generative AI Tools, Python, Pandas
• Career-oriented training for academic and professional growth in AI
Course Curriculum
Module 1: Day 1 – Introduction to Generative AI in Academic Research
- Explore the landscape of Generative AI and its research applications
- Identify ethical risks such as bias and hallucinations
- Automate literature reviews and research ideation with AI
- Ensure academic integrity while using AI tools
Module 2: Day 2 – AI‑Assisted Academic Writing & Data Analysis
- Structure and draft manuscripts using AI prompts
- Enhance grammar, coherence, and readability with AI checks
- Perform basic data analysis and pattern detection in Python
- Visualize research findings through AI‑driven graphics
Module 3: Day 3 – AI in Peer Review, Integrity & Productivity
- Automate peer‑review checks and manuscript quality assessment
- Detect predatory publishing using AI classifiers
- Boost research productivity by automating repetitive tasks
- Build reproducible, transparent workflows with Jupyter Notebooks
Tools, Techniques, or Platforms Covered
OpenAI API
Generative AI Tools
Python
Pandas
Matplotlib
Scite.ai
Jupyter Notebooks
Generative AI Tools
Python
Pandas
Matplotlib
Scite.ai
Jupyter Notebooks
Real-World Applications
- Apply Ethical and Effective Use of Generative AI in Research skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical AI competencies
- Solve industry-relevant problems using Ethical and Effective Use of Generative AI in Research methodologies and tools
- Contribute to open-source projects and collaborative research in AI
- Prepare for competitive examinations, interviews, and professional certifications in AI
Who Should Attend & Prerequisites
- Industry‑recognized e‑Certification + e‑Marksheets from NSTC
- Hands‑on training with practical projects and real research datasets
- Dedicated expert mentorship and doubt‑resolution throughout the course
Prerequisites:
Frequently Asked Questions
1. What is the format of this Ethical and Effective Use of Generative AI in Research course?
This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.
2. Will I receive a certificate after completing this course?
Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.
3. What are the prerequisites for this course?
Learners should have a foundational understanding of AI concepts. Familiarity with basic tools and programming is recommended.
4. How long will I have access to the course materials?
You will have access to all course materials for the duration of 60-90 minutes. The self-paced format allows you to learn according to your own schedule through our online learning management system.
5. Is mentor support available during the course?
Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to AI. Our mentors are industry experts and experienced professionals.
Enroll in Ethical and Effective Use of Generative AI in Research today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering AI skills that matter.
| Brand | NSTC |
|---|---|
| Format | Recorded Lectures |
| Duration | 60-90 minutes |
| Level | Advanced |
| Domain | AI |
| Hands-On | Yes – Practical projects with industrial datasets |
| Tools Used | OpenAI API, Generative AI Tools, Python, Pandas, Matplotlib, Scite.ai, Jupyter Notebooks |
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