AI for Scientists: Automate Your Routine

El precio original era: 150,00 €.El precio actual es: 97,00 €.

Pago seguro garantizado

Automate your routine with Artificial Intelligence. The course “AI for Scientists” It is an intensive and practical training program, specifically designed for professionals in any scientific sector (no programming knowledge requiredIts goal is to teach how to implement an ecosystem of Artificial Intelligence tools for automate tasks, streamline bibliographic searches, enhance scientific communication and, ultimately, optimize every facet of the daily workflow.

📘 See Teaching Guide

The AI course for scientists is intensive. With 6 modules (40 hours) you will learn to implement an ecosystem of Artificial Intelligence tools to automate your scientific routine, streamline your literature searches, enhance the communication of your results, and optimize your daily workflow.

Upon completion you will be able to:

  • Automate tasks including scientific surveillance, mail management, and data analysis.
  • Carry out in-depth literature searches and systematic reviews in a fraction of the usual time.
  • Design and validate experimental methods supported by AI based on selected literature.
  • Trigger High-quality scientific content, from presentations and graphics to article drafts.
  • Create simple web applications and internal tools without writing a single line of code.
  • Integrate synergistically combine language models, automation platforms, academic search engines, and knowledge bases to build customized workflows that free up time for science.

Try the course before you buy

Full course index:

    • Awaken your innovative mindset
      • Introduction to Artificial Intelligence
        • What is Artificial Intelligence?
        • Why is AI relevant to scientists?
        • Demonstrate what you have learned (Test)
      • When fiction became reality
        • Real use cases in science
        • Common myths about AI
      • A companion in everyday life
        • Integrative Mindset: Thinking of AI as a Personal Tool
        • Suggested activity
        • Apply what you have learned so far (Test)

    • Decode Artificial Intelligence
      • AI Fundamentals for Scientists
        • What does “learning” mean for an AI?
        • Types of learning in AI
        • What does an AI need to function?
        • What is an AI model?
        • What is the role of data in all this?
        • Ethics and reliability in scientific AI
        • How does an AI system evolve over time?
        • Suggested practical activity
        • Have you understood how AI learns? (Questionnaire)
        • Models, Data, Ethics and Evolution of Scientific AI (Questionnaire)
      • Tools and platforms for integrating AI into projects
        • Classification of tools according to level of use
        • Recommended platforms to start practicing

    • Talk to AI
      • Build efficient PROMPTS

    • Automate your routine
      • Automating repetitive tasks with AI
        • Smart Item Alerts
        • Automated generation of experimental methods
        • Automated email replies in your style
      • Investigate more efficiently
        • Advanced bibliographic analysis with ResearchRabbit
        • Research with Elicit
        • Boost your research with Perplexity
      • Work smart: Do more and better
        • Create apps in seconds
        • Automate your presentations with GAMMA

    • Boost your scientific communication
      • Graphic potential in science
        • Organize a conference with AI
        • Create a personal brand
        • Nano Banana Applications in Science

    • Boost your scientific abilities
      • Improve your experiments
        • Improves an existing experimental design
        • Automated evaluation of results
      • Critical analysis with AI
        • Scientific audit with AI
        • Reproducibility and traceability with AI

  • Your personalized AI ecosystem
    • Final Project: Developing a Custom AI System for a Scientific Experiment
    • Recapitulation and farewell

This course is designed for any professional in the scientific and technical field, including:

  • Researchers (postdoctoral, principal, etc.).
  • PhD and Master's students.
  • Engineers, mathematicians, and anyone in the field of technology.
  • Laboratory technicians and research support staff.
  • Data analysts and R&D staff in companies.
  • Scientific project managers and medical affairs staff.

Can I preview some of the course material before purchasing?

What is scientific artificial intelligence?

Scientific artificial intelligence is the use of language modeling tools and techniques (LLMs) applied to the entire scientific field. It enables the automation of tasks, data analysis, and the optimization of scientific processes. In this way, professionals and teams can focus on reasoning, innovation, and creating solutions without needing to be programming experts.

How can AI improve scientific research?

AI improves scientific research by automating repetitive tasks such as literature searches and article reviews, enabling faster and more accurate analysis of large volumes of data and generating insights that might be missed by human analysis. As a result, researchers have more time to focus on the strategic and creative aspects of scientific advancement.

What are the most commonly used artificial intelligence tools in the scientific and technical fields?

Currently, the most widely used tools are: Zapier and Make for automating tasks; Gemini, ChatGPT, DeepSeek, Perplexity, and Claude for content analysis and generation; NotebookLM and Notion AI for organizing content; ResearchRabbit for intelligent literature searches; Canva and Gamma for creating presentations and other content, etc. And all of this without requiring technical expertise. Thus, integrating AI into the scientific workflow is straightforward.

What are the advantages of including artificial intelligence in my research project?

The inclusion of AI allows you to stand out from the competition, improves the quality and speed of analysis, automates time-consuming tasks, enriches presentations and articles quickly and easily, and positions you as a benchmark in the modern and original use of technology in the scientific field.

Is AI capable of making scientific discoveries on its own?

Artificial intelligence is a powerful tool that helps in recognizing patterns and generating hypotheses; it doesn't replace human intervention, but neither does it substitute for it. Scientific discoveries require human critique and validation, fields in which scientists remain essential.

What will happen regarding the relationship between artificial intelligence and science in the future?

Artificial intelligence will contribute to science, making processes more efficient, analyses more in-depth, and discoveries faster. It will also open new avenues of research and offer scientists the opportunity to incorporate new technologies into their daily work, increasing their capabilities and advancing global knowledge.

How much time do I need to invest?

The theoretical part can be done at your own pace; it's free and open so you can learn it at your own speed. Then, the implementation depends on how much time you dedicate to it—the more time you dedicate, the faster you'll see results.

Are the tools expensive?

No. We teach free tools or tools with sufficient free versions.

Is there support during the course?

Yes, there is 24/7 support on campus via email and phone.

Does it work for my specific discipline?

Yes. The techniques are applicable to any scientific field: biology, physics, medicine, social sciences, engineering, etc.

en_US