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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 27 C$ /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 -04:00)
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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Unlike purely theoretical training, my courses are oriented towards practical application, methodology and real-world projects.

We can work together on:

• Modern JavaScript and TypeScript
• Node.js and Backend Development
• Professional Laravel and PHP
• REST APIs and modern architectures
• SQL and NoSQL databases
• Docker and containerization
• DevOps, CI/CD and automation
• Git and best collaboration practices
• Software architecture and clean code
• Preparation for technical interviews
• Support for academic or professional projects
• Creation of a valuable technical portfolio

My method involves adapting each lesson to the student's objectives. Whether you are a complete beginner, a computer science student, or a developer wishing to progress to a professional level, we will build a personalized learning plan.

My goal is not just to teach you how to write code, but to pass on to you the methods, best practices, and working logic used daily by professional software engineers.

At the end of your apprenticeship, you will be able to design, develop, test and deploy your own applications with confidence and autonomy.
verified badge
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• What AI is and how it is used at work
• Practical workplace use cases
• Prompting for better results
• Writing, summarising and planning with AI
• Using AI to improve clarity and productivity
• Reviewing and challenging AI outputs
• Privacy, confidentiality and data boundaries
• Human judgement in AI-supported work
• Avoiding cognitive dependency
• Managing fear, overwhelm and over-trust

Suitable for

Professionals, returners to work, jobseekers, freelancers, managers and employees who want to use AI confidently and responsibly.
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Learn how to transform raw data into actionable business insights using industry-leading tools and techniques. This course is designed for students, professionals, managers, entrepreneurs, and anyone looking to develop practical data analytics skills that are highly demanded in today's job market.

As an international Data Analytics Trainer and Business Consultant, I have trained students and professionals from multiple countries and helped businesses use data to improve decision-making, identify opportunities, and solve operational challenges.

In this course, you will learn:

• Microsoft Excel for data cleaning, analysis, dashboards, and reporting
• SQL for querying and managing databases
• Power BI for interactive dashboards and business intelligence solutions
• Tableau for data visualization and storytelling
• Python for data analysis, automation, and machine learning fundamentals
• Real-world business analytics projects and case studies
• Data-driven decision-making techniques used by modern organizations

Whether you are a beginner starting your analytics journey or an experienced professional looking to upgrade your skills, the lessons are customized to your goals and experience level.
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Computer Science is the subject related to the python programming and MySQL topics. Here, you will learn the basics of Computer architecture, number systems, basics of python programming like datatype, operators and their types, lists, tuples, dictionaries, functions, file and exception handling, etc.
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Are you interested in learning how the Forex market works but don't know where to start?

This course is designed for complete beginners as well as traders who want to improve their understanding of the market. I teach Forex trading in a simple, practical, and easy-to-understand way using real market examples.

During this class, you will learn:

• What Forex trading is and how the market works
• How to read candlestick charts
• Market structure and trend identification
• Support and resistance
• Risk management and money management
• Trade entry and exit strategies
• Trading psychology and discipline
• Live chart analysis and practical examples

My goal is not just to teach you how to place trades, but to help you understand why trades are taken and how to build consistent trading habits.

Whether you're a complete beginner or have some trading experience, this class will help you build a strong foundation for becoming a confident Forex trader.
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Master SAP Security & GRC through practical, real-time online training designed for beginners, graduates, and working professionals. This course covers SAP Security fundamentals, user administration, role creation (PFCG), authorization concepts, SU53, SUIM, ST01, SAP GRC Access Control, with real-world business scenarios. Classes are conducted live via Zoom, and recordings are provided after every session for lifetime reference. Well-structured study notes, hands-on exercises, interview preparation, mock interviews, resume guidance, and dedicated doubt-clearing sessions are included to help you become job-ready with confidence.
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AI is everywhere, but knowing that does not make it easy to begin. Many people feel overwhelmed, uncertain, resistant, or worried that they are already behind.

These lessons are designed for complete beginners who want a calm and supportive way to enter the world of AI.

I will help you understand how to approach AI, what it can realistically do for you, and how to begin using it without feeling intimidated. We will work at your pace, using real examples from your work, daily life, interests, or personal goals.

The focus is not only on learning the technology. It is also about building confidence, reducing hesitation, and helping you feel comfortable experimenting independently.

Depending on your needs, we can explore:

how to start a conversation with an AI tool
how to turn unclear thoughts into useful requests
how to recognize where AI can genuinely help
how to improve disappointing or inaccurate answers
how to verify information and avoid common mistakes
how to use AI safely without sharing sensitive information
how to choose between different AI tools without becoming overwhelmed
how to develop your own comfortable and practical way of using AI

No technical knowledge or programming experience is required. The goal is for you to leave the lesson feeling more confident, curious, and capable of continuing on your own.
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