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Since September 2022
Instructor since September 2022
Prompt Engineering for AI: Designing Effective Prompts for Optimal AI Performance
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From 14 £ /h
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Course Description:
This specialized course focuses on the emerging field of prompt engineering, a critical skill for maximizing the efficiency and accuracy of AI language models. Students will learn techniques to craft effective prompts for AI tools like GPT, Claude, and Bard to achieve desired results across various applications, from content creation to data analysis. By the end of the course, participants will be able to design optimized prompts to enhance AI-driven projects and workflows.

Course Objectives:

Understand the fundamentals of AI language models and their applications.

Develop the skills to write precise and effective prompts.

Learn to troubleshoot and refine AI interactions.

Explore use cases in industries like marketing, data science, and creative writing.

Gain hands-on experience with leading AI platforms.

Target Audience:

Developers and AI enthusiasts.

Content creators and marketers.

Data analysts and business professionals.

Anyone interested in leveraging AI tools effectively.

Prerequisites:

Basic understanding of AI concepts (recommended but not required).

Interest in AI-driven applications and tools.
Location
location type icon
Online from Turkey
About Me
• Languages: Turkish (Native), English (certificated by IELTS), Spanish (certificated by Cervantes), French (beginner)
• Programming Languages: R&R Studio, Stata, Python, SQL, Microsoft Azure
• Tools: Power BI, Mac OS X Programs, Microsoft Office Programs
• Platforms: PyCharm CE
• Soft Skills: Problem Solving, Data Visualization
Education
University Carlos III of Madrid (With Merit Scholarship)
• Research Master (PhD Coursework) of Quantitative Methods and Economics
• Specialized in econometrics and quantitative analysis

Erasmus-Groningen University (With Merit Scholarship)
• Department of Economics

Marmara University (100% English and With Merit Scholarship)
Master of Economics-Finance (GPA: 3.90/4.00)

Istanbul Sehir University (100% English and With Merit Scholarship)
• Bachelor of School of Management and Administrative Sciences
• Minor of International Relations and Political Science.
Experience / Qualifications
1)European Savings Bank- (Data Scientist-AI)-Brussels/Belgium (2023-2024)
2)University of Carlos III de Madrid (Quantitative Data Analyst) Madrid/Spain (2020 -2022)
3)University College of London (Research Analyst) London/United Kingdom (2018-2020)
4) CNS Advanced Research Center (European Regulatory Advisor) Montenegro (2019)
5) Turk Telekom General Management (Intern: Business Consultancy) Istanbul/Turkey (June 2014/August 2014)
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Spanish
Turkish
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Review the main explanations offered by strategic management research, economics and business related fields with regard to differences in firm behavior and performance.
To do so, we will examine a list of articles that refer to the related key topics in strategy research.
Critically analyze and comment theoretical and empirical issues in strategy from an interdisciplinary perspective. - Integrate existing knowledge to develop an original research proposal with an interesting research question and testable propositions. -
Develop skills to present and defend your research proposal, and ideas more generally.
Learn how to review a research paper.
Read more
Course Description:

This comprehensive data science course is designed to take students from beginner to advanced levels, equipping them with the necessary skills to excel in data-driven industries. Through hands-on projects, students will learn to manipulate data, build machine learning models, and effectively communicate insights. Whether you're looking to break into the tech industry or upskill in your current role, this course will provide you with the practical experience and theoretical knowledge needed to succeed.

Course Objectives:

Understand core data science concepts and their applications.

Learn to collect, clean, and preprocess data.

Develop strong programming skills in Python and R.

Build and evaluate machine learning models.

Gain proficiency in data visualization and storytelling.

Apply statistical and predictive modeling techniques.

Work on real-world projects to build a strong portfolio.

Target Audience:

Aspiring data scientists and analysts.

Professionals looking to transition into data science.

University students in STEM fields.

Entrepreneurs interested in leveraging data for business growth.

Prerequisites:

Basic knowledge of programming (Python or R preferred).

Understanding of basic mathematics and statistics.

A laptop capable of running data science tools.
Read more
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you can find my LinkedIn here
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you can find my LinkedIn here
https://www.linkedin.com/in/gianroccolazzari/
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# Class Description
Explore the world of Information Technology and Web Development through practical, beginner-friendly lessons designed to build real technical skills.

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Whether you're completely new to technology or looking to strengthen your existing skills, the goal is to make complex concepts easier to understand through clear explanations, hands-on exercises, and practical examples.

**My teaching approach:** Learn by understanding, practice by building, and improve by solving real problems.
verified badge
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In these classes I will help you build a clear and personalized path to introduce you to the world of cybersecurity, even if you have little or no prior experience.

We'll look at the main areas of cybersecurity, what knowledge you need, what technologies to learn, and how to start gaining practical experience.

Depending on your goals, we can work on topics such as:

• Fundamentals of networks, systems and security
• Main areas and jobs in cybersecurity
• Blue Team, SOC, Cloud Security, IAM, GRC and Data Security
• Introduction to Microsoft Security
• Hands-on labs with platforms like TryHackMe
• Recommended certifications and training
• How to create your own learning plan
• CV preparation and technical interviews
• How to get your first cybersecurity job

The classes will be tailored to your experience, professional goals, and the area of cybersecurity in which you want to specialize.
verified badge
About me:

- Quantum Machine Learning Researcher
- Upcoming Intern at the Indian Space Research Organisation
- Fluent in ML + DL + RL + Agentic AI + GANs


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I focus on building strong fundamentals, explaining concepts intuitively, and connecting theoretical knowledge with practical applications.

Topics covered:

- Python for Data Science
- NumPy and Pandas
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Statistics and fundamentals of Data Science
- Supervised Learning: Linear Regression, Logistic Regression and Classification
- Decision Trees and Random Forests
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- Overfitting, underfitting and model optimisation
- Introduction to Unsupervised Learning and Clustering

Whether you're a college student exploring Machine Learning, a beginner interested in AI, or someone looking to strengthen their Data Science foundations, these classes will help you develop a structured understanding of the subject.

**No prior Machine Learning experience is required. Basic Python knowledge is helpful but not mandatory.**
Good-fit Instructor Guarantee
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Contact Meyra