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BUSINESS & PROFESSIONALS Intermediate

AI for Research and Academia

Read a free preview of the first lesson No account, no card · the opening of Lesson 1, plus the interactive platform demo and the AI Professor Start now Finish the course with a publicly verifiable Certificate of Completion See the certificate

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.

10 modules
30 lessons
~25h duration
v1.0 version
AI professor An AI agent built into every lesson — ask questions and get instant answers based on the course content
Hands-on exercises Real scenarios and practical exercises directly on the platform, with instant feedback
Progress & analytics A personal dashboard with statistics, streaks, scores and structured learning paths
Interactive AI quizzes Questions generated by AI and adapted to your level, with detailed explanations
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Content in English
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Interactive AI chat Automatic summaries Personalized quizzes

What you will learn

Practical skills you gain by completing this course

Module 0 — AI in the Research Lifecycle: Mindset and Integrity
Module 1 — Literature Discovery and Search
Module 2 — Reading, Summarizing, and Synthesizing
Module 3 — Citations, References, and the Hallucination Problem
Module 4 — Research Questions, Design, and Brainstorming
Module 5 — Academic Writing and Structuring Papers
Module 6 — Grants, Proposals, and Funding
Module 7 — Data Analysis Help and Coding (Conceptual)
Module 8 — Dissemination: Presentations, Peer Review, and Career
Final Quiz

Who it is for

Professionals from any field Managers and team leads Entrepreneurs Freelancers Consultants Anyone who wants to use AI

Recommended level

Intermediate

Basic knowledge of AI and the specific domain is recommended.

Updates

Regular

Last update: Aug 8, 2026. Content kept up to date.

Category

Business & Professionals

Accessible to any professional — available with individual course access or the Business / All Access bundle.

Intermediate level

Basic knowledge recommended

Basic knowledge of AI and the specific domain is recommended to get the most out of it.

Always up to date

Last update: Aug 8, 2026

The course is updated regularly with the latest information, tools and practices from the industry.

Practical and applied

30 lessons with real examples

Each lesson includes practical scenarios, actionable checklists and quizzes to check your understanding.

Certificate of Completion

You leave with proof anyone can check

for the course AI for Research and Academia

A private attestation with a unique number and a QR code. A recruiter confirms it is authentic in a second, on the public verification page — no account, no cost.

What your certificate states for this course

  • 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
Verify a certificate Certification policy →

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.

Anyone can verify it

Public verification page, QR code and cryptographic fingerprint — no account and no cost for the person checking.

Useful when job hunting

Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.

Transparent

It shows exactly what it attests: the course, the modules covered, the assessment score and the completion date.

Curriculum

10 modules, 30 lessons — structured to learn step by step.

10 modules
30 lessons
~25h of content
Interactive quizzes
Free preview available How AI Fits the Research Workflow in 2026
Read the preview
1 Free preview lesson How AI Fits the Research Workflow in 2026
Read the preview
2 The 2026 Research AI Toolkit — An Honest Map
50 min
3 Academic Integrity: The Spine of Everything
52 min
4 Prompting Foundations for Researchers
52 min
1 Building a Literature Search Strategy with AI
52 min
2 The AI Literature-Tool Landscape and How to Use It
50 min
3 Staying Current: Alerts, Feeds, and Triage
50 min
4 Systematic and Scoping Reviews: Where AI Fits
52 min
1 Summarizing Dense Papers Without Losing Rigor
52 min
2 Synthesizing Across Many Papers
52 min
3 Smart Note-Taking and a Research Second Brain
50 min
4 Critically Appraising Papers with AI Support
52 min
1 Why AI Fabricates Citations — and How to Never Get Burned
52 min
2 Reference Management with Zotero, Mendeley, and AI
50 min
3 Verifying Facts, Quotes, and Statistics
50 min
1 Brainstorming and Refining Research Questions
52 min
2 Conceptual Help with Research Methodology
52 min
1 Structuring a Paper with AI (IMRaD and Beyond)
52 min
2 Clarity for Non-Native English Researchers
52 min
3 Responsible Paraphrasing, Plagiarism, and Self-Plagiarism
52 min
4 Revising, Editing, and Working with Feedback
52 min
1 Structuring a Grant Proposal with AI
52 min
2 Tailoring Proposals to Funders and Reviewers
50 min
1 AI as a Coding Copilot for Data Analysis
52 min
2 Explaining Statistics and Debugging, Conceptually
50 min
1 Presentations and Conference Posters
50 min
2 Peer Review: Reading, Responding, and Confidentiality
52 min
3 Communicating Research Beyond Academia
52 min
4 Managing an Academic Career and Reputation
50 min
1 Final Assessment: AI for Research and Academia
22 min
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