Use AI ethically across research in 2026: literature synthesis, academic writing, grants, references and peer review, with integrity and verified citations.
The course’s skills. The same ones appear on your Certificate of Completion, so you can show what you covered.
AI in the Research Lifecycle: Mindset and Integrity
Literature Discovery and Search
Reading, Summarizing, and Synthesizing
Citations, References, and the Hallucination Problem
Research Questions, Design, and Brainstorming
Academic Writing and Structuring Papers
Grants, Proposals, and Funding
Data Analysis Help and Coding (Conceptual)
About the course
A premium, practical, and rigorously honest course on using artificial intelligence across the entire academic research lifecycle in 2026 — for graduate students, PhD candidates, postdocs, faculty, and independent researchers. You will learn to use AI as a scholarly co-pilot: discovering and synthesizing literature, taking smart notes, structuring papers, sharpening academic writing (especially for non-native English speakers), summarizing dense articles, brainstorming research questions, structuring grant proposals, building presentations and posters, getting conceptual help with data-analysis code, managing references, and reading peer review more effectively. Every module is anchored in one non-negotiable spine: academic integrity. AI is a thinking and drafting aid, never a ghostwriter, never a source of citations, and never a way to fabricate data or claim work that is not your own. You will get ready-to-use prompts, worked examples, and workflows, plus explicit guidance on citation hallucination, disclosure policies, confidentiality, and accountability. This is educational content and does not replace your institution's policy, your ethics board, or legal advice.
Who it is for
For professionals who want to use AI in their everyday work, without writing code. It belongs to AI Productivity, on the Business track.
What you need
Intermediate level: it helps to already know the basics of AI and of the course’s field. No programming required.
The 2026 Research AI Toolkit — An Honest Map50 min10 questions
Academic Integrity: The Spine of Everything52 min11 questions
Prompting Foundations for Researchers52 min11 questions
2
Module 2: Module 1 — Literature Discovery and Search
4 lessons · 3 h 24 min · 41 questions
Building a Literature Search Strategy with AI52 min10 questions
The AI Literature-Tool Landscape and How to Use It50 min10 questions
Staying Current: Alerts, Feeds, and Triage50 min10 questions
Systematic and Scoping Reviews: Where AI Fits52 min11 questions
3
Module 3: Module 2 — Reading, Summarizing, and Synthesizing
4 lessons · 3 h 26 min · 41 questions
Summarizing Dense Papers Without Losing Rigor52 min10 questions
Synthesizing Across Many Papers52 min10 questions
Smart Note-Taking and a Research Second Brain50 min10 questions
Critically Appraising Papers with AI Support52 min11 questions
4
Module 4: Module 3 — Citations, References, and the Hallucination Problem
3 lessons · 2 h 32 min · 30 questions
Why AI Fabricates Citations — and How to Never Get Burned52 min10 questions
Reference Management with Zotero, Mendeley, and AI50 min10 questions
Verifying Facts, Quotes, and Statistics50 min10 questions
5
Module 5: Module 4 — Research Questions, Design, and Brainstorming
2 lessons · 1 h 44 min · 20 questions
Brainstorming and Refining Research Questions52 min10 questions
Conceptual Help with Research Methodology52 min10 questions
6
Module 6: Module 5 — Academic Writing and Structuring Papers
4 lessons · 3 h 28 min · 41 questions
Structuring a Paper with AI (IMRaD and Beyond)52 min10 questions
Clarity for Non-Native English Researchers52 min10 questions
Responsible Paraphrasing, Plagiarism, and Self-Plagiarism52 min10 questions
Revising, Editing, and Working with Feedback52 min11 questions
7
Module 7: Module 6 — Grants, Proposals, and Funding
2 lessons · 1 h 42 min · 20 questions
Structuring a Grant Proposal with AI52 min10 questions
Tailoring Proposals to Funders and Reviewers50 min10 questions
8
Module 8: Module 7 — Data Analysis Help and Coding (Conceptual)
2 lessons · 1 h 42 min · 20 questions
AI as a Coding Copilot for Data Analysis52 min10 questions
Explaining Statistics and Debugging, Conceptually50 min10 questions
9
Module 9: Module 8 — Dissemination: Presentations, Peer Review, and Career
4 lessons · 3 h 24 min · 41 questions
Presentations and Conference Posters50 min10 questions
Peer Review: Reading, Responding, and Confidentiality52 min10 questions
Communicating Research Beyond Academia52 min11 questions
Managing an Academic Career and Reputation50 min10 questions
10
Module 10: Final Quiz
1 lesson · 22 min · 22 questions
Final Assessment: AI for Research and Academia22 min22 questions
By email
Email me the course syllabus
Modules and lessons in order, plus the link to the preview of lesson 1 — so you can decide at your own pace.
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How you learn
You read the lesson, ask the AI Professor right on the page and check what you remember.
Lesson 1 · 50 min
How AI Fits the Research Workflow in 2026
By 2026, artificial intelligence has quietly become part of almost every stage of academic work — but not in the way the hype suggests. It does not do research for you.
The first lines of lesson 1 of this course.
Read the free preview, no account needed.
You read the lesson at your own pace
Written lessons, with examples and exercises. Your progress is saved automatically, so you can pick up where you left off.
You ask the AI Professor inside the lesson
Select a passage and it explains it, gives you an example or tells you why it matters. You can type or talk to it, in English.
You check what you remember
Every lesson has its own quiz, with explanations for the answers: 318 questions across the course. The professor also summarizes the lesson and prepares review flashcards.
You get the Certificate of Completion
Once you complete the lessons and reach the minimum quiz score, you issue it from your account, with a unique number, publicly verifiable.
The AI Professor is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms. See how the AI Professor works.
You leave with proof anyone can check
The Certificate of Completion for “AI for Research and Academia”: a private attestation with a unique number and a QR code. A recruiter confirms it is authentic on the public verification page, with no account and no cost.
The real document, an A4 PDF, shown here with sample data. Yours carries your name, the course “AI for Research and Academia”, the serial number, the issue date and the tier you earned; the QR code in the image is decorative.
Anyone can verify it
Public verification page, QR code and cryptographic fingerprint, with no account for the person checking.
You show it where it counts
Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.
It says exactly what it attests
The course, the tier you earned (Pass, Merit or Distinction), the serial number and the issue date, plus the percentage of lessons completed.
A private attestation of course completion. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Certification policy.
Pricing
Just this course, or more with this one included
A subscription by number of courses: 1, 3, 5, 10, 15 or 25 courses a month, or the full catalog. You pick them and can change them at every renewal; your progress and certificates stay. Billed monthly or yearly (12 months for the price of 10), in EUR. You can stop the renewal anytime from your account, and access starts right after payment. Prices are totals, with VAT included at the rate of your country.
How many courses a month?
This course goes first on your list; you pick the others in your account and can change them at every renewal.
Total prices, VAT included. Move up anytime and pay only the difference for the days left; move down at renewal. Renews automatically, you stop it anytime from your account; your progress and certificates stay. Digital content with immediate access: see the withdrawal terms.
About the course, the price, the AI Professor and the certificate.
What will I learn in “AI for Research and Academia”?
A premium, practical, and rigorously honest course on using artificial intelligence across the entire academic research lifecycle in 2026 — for graduate students, PhD candidates, postdocs, faculty, and independent researchers. You will learn to use AI as a scholarly co-pilot: discovering and synthesizing literature, taking smart notes, structuring papers, sharpening academic writing (especially for non-native English speakers), summarizing dense articles, brainstorming research questions, structuring grant proposals, building presentations and posters, getting conceptual help with data-analysis code, managing references, and reading peer review more effectively. Every module is anchored in one non-negotiable spine: academic integrity. AI is a thinking and drafting aid, never a ghostwriter, never a source of citations, and never a way to fabricate data or claim work that is not your own. You will get ready-to-use prompts, worked examples, and workflows, plus explicit guidance on citation hallucination, disclosure policies, confidentiality, and accountability. This is educational content and does not replace your institution's policy, your ethics board, or legal advice.
The course has 10 modules and 30 lessons, with 318 quiz questions. The full curriculum, module by module, is shown on the course page.
Do I need prior experience for this course?
The course is Intermediate level: it helps to already know the basics of AI and of the course’s field. Business courses require no programming.
How long does the course take?
The estimated duration is about 25 hours, across 30 lessons. You learn at your own pace, and your progress is saved automatically at every lesson, so you can pick up where you left off.
How much does it cost, and which plan do I need?
This course alone: the 1 course plan, €99 per month. The course fits into every plan of the subscription, next to other courses you choose: for example 3 courses for €199, 10 courses for €319 (recommended) or the full catalog for €499 per month.
You pick your courses after paying and can change them at every renewal; starting from here, this one is already picked. Plans are billed in EUR, monthly or yearly (pay for 10 months, get 12). Every price is a total, with VAT included at the rate of your country. See all plans.
Can I read part of the course before paying?
Yes. You can read a free preview of lesson 1, “How AI Fits the Research Workflow in 2026”, without an account. The preview shows you how the lesson is written; the rest of the lesson and the other lessons open after payment.
How does the AI Professor help me in this course?
The AI Professor is built into every lesson and starts from the lesson you have open: it explains the passages you select, gives you examples, summarizes the lesson, tests you with a quiz and prepares review flashcards. You can type or talk to it, in English.
It is included in every plan of your subscription, with a fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms.
Do I get a certificate when I finish the course?
When you meet the completion thresholds shown on the platform (lessons completed and the minimum quiz score), you can issue your Certificate of Completion for “AI for Research and Academia” from your account, with a unique number, publicly verifiable on the site.
It is a private attestation of course completion, issued by GALIAN SOFTWARE DEVELOPMENT SRL. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Details in the Certification policy.
Does the subscription renew automatically? How do I stop it?
Yes. The subscription renews automatically at the end of each monthly billing period. You can see the next renewal date in your account at any time.
You can stop the renewal at any time, from your account or by email, with no other formality. Access stays active until the end of the period already paid for, and no pro-rata refund is made for a period already started, except in the cases provided by law. Your progress stays saved in your account. Details in the Terms & Conditions, section 5.5.
Can my company buy this course for a team?
Yes. With the team library, the company admin picks 3, 5, 10, 15 or 25 courses a month, or the full catalog, for the whole team, from €49 per member per month, excl. VAT, for 5 members or more. A dashboard shows each member’s progress and manages seats centrally. Price it for your team.
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