from20.99GBP/ h
Machine Learning with Python and PyTorch: Practical Hands-on Training
Welcome to "Machine Learning with Python and PyTorch: Practical Hands-on Training," a beginner-friendly course designed to introduce you to the exciting world of machine learning using two of the most popular tools in the industry: Python and PyTorch. This course focuses on practical, hands-on learning, ensuring you gain the skills needed to start building your own machine learning models.
#### Course Objectives:
- **Introduction to Machine Learning:** Understand the basic concepts and principles of machine learning.
- **Python Programming for Machine Learning:** Learn Python programming essentials tailored for machine learning applications.
- **PyTorch Fundamentals:** Get acquainted with PyTorch, a powerful and flexible deep learning framework.
- **Practical Experience:** Gain hands-on experience by working on real-world projects and exercises.
- **Model Building and Evaluation:** Learn to build, train, and evaluate various machine learning models.
#### Course Outline:
1. **Introduction to Machine Learning:**
- What is machine learning?
- Types of machine learning: supervised, unsupervised, and reinforcement learning
- Applications of machine learning in different industries
2. **Python Programming Essentials:**
- Introduction to Python programming
- Data structures and libraries (NumPy, Pandas)
- Basic data manipulation and visualization (Matplotlib, Seaborn)
3. **Getting Started with PyTorch:**
- Introduction to PyTorch and its ecosystem
- Setting up your environment and installation
- Understanding tensors and basic tensor operations
4. **Building Your First Machine Learning Model:**
- Data preprocessing and preparation
- Splitting data into training and testing sets
- Building a simple linear regression model with PyTorch
5. **Training and Evaluating Models:**
- Understanding the training process
- Loss functions and optimization algorithms
- Evaluating model performance using metrics
6. **Advanced Models and Techniques:**
- Introduction to neural networks
- Building and training a neural network with PyTorch
- Exploring convolutional neural networks (CNNs) for image classification
7. **Practical Projects and Applications:**
- Hands-on projects to reinforce learning
- Real-world applications and case studies
- Tips and best practices for successful machine learning projects
8. **Next Steps in Your Machine Learning Journey:**
- Exploring further learning resources
- Joining machine learning communities and forums
- Preparing for advanced topics and courses
#### Who Should Enroll:
- Beginners with no prior experience in machine learning
- Individuals interested in learning Python programming
- Aspiring data scientists and machine learning enthusiasts
#### Prerequisites:
- Basic computer literacy and familiarity with high school-level mathematics
- No prior programming or machine learning experience required
#### Course Outcomes:
By the end of this course, you will be able to:
- Understand the fundamental concepts of machine learning
- Write and execute Python code for machine learning tasks
- Use PyTorch to build, train, and evaluate machine learning models
- Apply your knowledge to real-world problems and projects
- Take the next steps in advancing your machine learning skills
Join us in "Machine Learning with Python and PyTorch: Practical Hands-on Training" to embark on your journey into the fascinating world of machine learning. Gain the skills and confidence needed to build and deploy your own models, and start making an impact with machine learning today.
#### Course Objectives:
- **Introduction to Machine Learning:** Understand the basic concepts and principles of machine learning.
- **Python Programming for Machine Learning:** Learn Python programming essentials tailored for machine learning applications.
- **PyTorch Fundamentals:** Get acquainted with PyTorch, a powerful and flexible deep learning framework.
- **Practical Experience:** Gain hands-on experience by working on real-world projects and exercises.
- **Model Building and Evaluation:** Learn to build, train, and evaluate various machine learning models.
#### Course Outline:
1. **Introduction to Machine Learning:**
- What is machine learning?
- Types of machine learning: supervised, unsupervised, and reinforcement learning
- Applications of machine learning in different industries
2. **Python Programming Essentials:**
- Introduction to Python programming
- Data structures and libraries (NumPy, Pandas)
- Basic data manipulation and visualization (Matplotlib, Seaborn)
3. **Getting Started with PyTorch:**
- Introduction to PyTorch and its ecosystem
- Setting up your environment and installation
- Understanding tensors and basic tensor operations
4. **Building Your First Machine Learning Model:**
- Data preprocessing and preparation
- Splitting data into training and testing sets
- Building a simple linear regression model with PyTorch
5. **Training and Evaluating Models:**
- Understanding the training process
- Loss functions and optimization algorithms
- Evaluating model performance using metrics
6. **Advanced Models and Techniques:**
- Introduction to neural networks
- Building and training a neural network with PyTorch
- Exploring convolutional neural networks (CNNs) for image classification
7. **Practical Projects and Applications:**
- Hands-on projects to reinforce learning
- Real-world applications and case studies
- Tips and best practices for successful machine learning projects
8. **Next Steps in Your Machine Learning Journey:**
- Exploring further learning resources
- Joining machine learning communities and forums
- Preparing for advanced topics and courses
#### Who Should Enroll:
- Beginners with no prior experience in machine learning
- Individuals interested in learning Python programming
- Aspiring data scientists and machine learning enthusiasts
#### Prerequisites:
- Basic computer literacy and familiarity with high school-level mathematics
- No prior programming or machine learning experience required
#### Course Outcomes:
By the end of this course, you will be able to:
- Understand the fundamental concepts of machine learning
- Write and execute Python code for machine learning tasks
- Use PyTorch to build, train, and evaluate machine learning models
- Apply your knowledge to real-world problems and projects
- Take the next steps in advancing your machine learning skills
Join us in "Machine Learning with Python and PyTorch: Practical Hands-on Training" to embark on your journey into the fascinating world of machine learning. Gain the skills and confidence needed to build and deploy your own models, and start making an impact with machine learning today.
Location
Online via webcam
General info
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, Arabic, French |
About Me
Programming with several programming languages, such as C, JAVA, and Python.Data scientist: extracting knowledge from structured, semi-structured, and unstructured data.
Teach programming languages and data science.
Five years of experience in teaching.
Education
Ph.D. in Artificial Intelligence Multi-modal from Sidi Mohamed Ben Abdellah University.Master's degree in Big Data analytics and smart systems, from Sidi Mohamed Ben Abdellah University.
Bachelor's degree in Computer Science and Mathematics from Ibn Zohr University
Experience / Qualifications
Five years of experience in teaching.Freelancer in several programming projects.
### Course Description: Teaching the Programming Languages (JAVA, Python, C, JavaScript)
Welcome to the comprehensive course on Teaching the Programming Languages: JAVA, Python, C, and JavaScript. This course is designed for aspiring programmers and educators who aim to master the fundamentals and advanced concepts of four of the most popular programming languages in the industry.
#### Course Objectives:
- **Introduction to Programming Concepts:** Understand the core principles of programming, including variables, data types, control structures, functions, and algorithms.
- **Language-Specific Syntax and Features:** Gain proficiency in the syntax and unique features of JAVA, Python, C, and JavaScript.
- **Hands-On Coding Practice:** Apply your knowledge through numerous coding exercises, projects, and real-world scenarios.
- **Debugging and Problem-Solving:** Develop strong debugging and problem-solving skills to efficiently resolve coding issues.
- **Advanced Topics:** Explore advanced topics such as object-oriented programming, web development, data structures, and algorithms.
- **Teaching Methodologies:** Learn effective teaching strategies to impart programming knowledge to others, whether in a classroom setting or online.
#### Course Outline:
1. **Introduction to Programming:**
- Basics of programming and computational thinking
- Overview of the four languages: JAVA, Python, C, and JavaScript
2. **JAVA Programming:**
- Syntax and basic constructs
- Object-oriented programming concepts
- Exception handling and multithreading
- Building GUI applications
3. **Python Programming:**
- Syntax and basic constructs
- Data structures and libraries
- Functional programming and modules
- Web development with Flask/Django
4. **C Programming:**
- Syntax and basic constructs
- Memory management and pointers
- File handling and system programming
- Data structures and algorithm implementation
5. **JavaScript Programming:**
- Syntax and basic constructs
- DOM manipulation and event handling
- Asynchronous programming and AJAX
- Front-end frameworks (React, Angular, or Vue.js)
6. **Integrated Projects:**
- Cross-language projects to solidify understanding
- Real-world applications and problem-solving
7. **Teaching Strategies:**
- Curriculum development and lesson planning
- Interactive and engaging teaching methods
- Assessment and feedback techniques
#### Who Should Enroll:
- Aspiring programmers who want to learn multiple programming languages
- Educators and trainers looking to enhance their teaching skills
- Professionals seeking to expand their coding expertise for career advancement
#### Prerequisites:
- Basic understanding of computer operations
- No prior programming experience required, but familiarity with basic programming concepts is beneficial
#### Course Outcomes:
By the end of this course, you will be able to:
- Write, debug, and optimize code in JAVA, Python, C, and JavaScript
- Develop comprehensive projects using each language
- Effectively teach programming concepts to others
- Apply advanced programming techniques to solve complex problems
Join us in this journey to become proficient in four powerful programming languages and enhance your teaching abilities to inspire the next generation of coders.
Embark on a comprehensive journey through Artificial Intelligence and Data Science with our course, "AI and Data Science: The Steps to Handle a Project." This course is meticulously designed for individuals who aspire to become proficient in managing and executing AI and data science projects from inception to deployment.
#### Course Objectives:
- **Foundational Knowledge:** Understand the core principles of AI and data science, including key concepts, methodologies, and tools.
- **Project Lifecycle Management:** Learn the systematic approach to handling AI and data science projects through each project lifecycle phase.
- **Hands-On Experience:** Gain practical experience through real-world projects and case studies.
- **Advanced Techniques:** Explore advanced techniques and algorithms in AI and data science.
- **Ethical and Responsible AI:** Understand the ethical implications and best practices for responsible AI development and deployment.
#### Course Outline:
1. **Introduction to AI and Data Science:**
- Overview of AI and data science
- Key concepts and terminologies
- Applications and industry use cases
2. **Project Scoping and Planning:**
- Defining the problem statement
- Identifying objectives and success metrics
- Project planning and timeline management
3. **Data Collection and Preprocessing:**
- Data collection methods and sources
- Data cleaning, transformation, and integration
- Exploratory data analysis and visualization
4. **Model Development:**
- Selection of appropriate algorithms and models
- Training, validation, and testing of models
- Hyperparameter tuning and optimization
5. **Model Evaluation and Validation:**
- Evaluation metrics and performance analysis
- Cross-validation techniques
- Model interpretability and explainability
6. **Deployment and Monitoring:**
- Model deployment strategies and tools
- Monitoring and maintaining model performance
- Continuous integration and continuous deployment (CI/CD)
7. **Project Documentation and Presentation:**
- Creating comprehensive project documentation
- Presenting findings and insights to stakeholders
- Effective communication of technical results
8. **Ethics and Best Practices:**
- Ethical considerations in AI and data science
- Ensuring fairness, accountability, and transparency
- Best practices for sustainable and responsible AI
#### Course Outcomes:
By the end of this course, you will be able to:
- Manage and execute AI and data science projects from start to finish
- Collect, preprocess, and analyze data effectively
- Develop, evaluate, and deploy robust AI models
- Communicate insights and results clearly to stakeholders
- Apply ethical and responsible practices in AI development
Join us to master the end-to-end process of handling AI and data science projects and become a proficient practitioner capable of delivering impactful solutions.
In today's rapidly evolving technological landscape, Large Language Models (LLMs) have emerged as a groundbreaking innovation, transforming the way we interact with machines and process vast amounts of textual information. This comprehensive course is designed to equip participants with the skills and knowledge to harness the power of LLMs for creating advanced chatbots and document-based question-answering (QA) systems.
#### Course Objectives:
- **Understanding LLMs:** Gain a deep understanding of Large Language Models, their architecture, and capabilities.
- **Langchain Framework:** Learn how to use Langchain, a powerful framework for building LLM-powered applications.
- **Building Chatbots:** Develop sophisticated chatbots capable of natural language understanding and generation.
- **Document-based QA Systems:** Create robust QA systems that can accurately retrieve and process information from documents.
- **Hands-On Projects:** Apply your learning through practical, hands-on projects and real-world scenarios.
#### Course Outline:
1. **Introduction to Large Language Models:**
- Overview of LLMs and their significance in AI
- Key concepts and components of LLMs
- Current trends and advancements in LLM technology
2. **Getting Started with Langchain:**
- Introduction to the Langchain framework
- Setting up the development environment
- Understanding Langchain's core features and functionalities
3. **Building Your First Chatbot:**
- Designing conversational interfaces
- Implementing natural language understanding (NLU) and natural language generation (NLG)
- Integrating LLMs into your chatbot
4. **Advanced Chatbot Development:**
- Enhancing chatbot capabilities with context management
- Handling multi-turn conversations
- Deploying and maintaining chatbots in production environments
5. **Document-based Question Answering Systems:**
- Understanding document processing and retrieval
- Building QA systems using LLMs
- Techniques for improving accuracy and relevance in QA systems
6. **Practical Applications and Case Studies:**
- Real-world applications of chatbots and QA systems
- Case studies highlighting successful implementations
- Best practices and lessons learned
7. **Hands-On Projects:**
- Developing a custom chatbot for a specific use case
- Building a document-based QA system for a chosen domain
- Integrating both systems into a cohesive application
8. **Future Directions and Advanced Topics:**
- Exploring advanced features of LLMs and Langchain
- Emerging trends and future developments in LLMs
- Preparing for further learning and specialization
#### Who Should Enroll:
- Aspiring AI developers and data scientists
- Professionals seeking to enhance their skills in LLMs and chatbot development
- Enthusiasts interested in leveraging LLMs for innovative applications
#### Prerequisites:
- Basic understanding of programming concepts
- Familiarity with Python is recommended but not required
#### Course Outcomes:
By the end of this course, you will be able to:
- Understand and utilize Large Language Models effectively
- Develop advanced chatbots using Langchain and LLMs
- Build robust document-based QA systems
- Apply your knowledge to real-world projects and scenarios
- Stay abreast of the latest advancements in LLM technology
Join us in "Mastering Large Language Models with Langchain: Building Chatbots and Document-based QA Systems" to unlock the potential of LLMs and create innovative AI solutions that transform how we interact with and process textual information.
### Course Description: Prompt Engineering using Python and LLMs
Unlock the power of Large Language Models (LLMs) with our beginner-friendly course, "Prompt Engineering using Python and LLMs." This course is designed to introduce you to the fundamentals of prompt engineering, equipping you with the skills needed to craft effective prompts and leverage the capabilities of LLMs for various applications.
#### Course Objectives:
- **Introduction to Prompt Engineering:** Understand the basics of prompt engineering and its significance in utilizing LLMs.
- **Python for Prompt Engineering:** Learn essential Python programming skills tailored for prompt engineering tasks.
- **Harnessing LLMs:** Discover how to use LLMs to generate, manipulate, and analyze text based on your crafted prompts.
- **Practical Applications:** Apply your knowledge through hands-on projects and real-world scenarios to build practical solutions.
#### Course Outline:
1. **Introduction to Prompt Engineering:**
- What is prompt engineering?
- Importance and applications of prompt engineering
- Overview of Large Language Models (LLMs) and their capabilities
2. **Python Essentials for Prompt Engineering:**
- Basic Python programming concepts
- Key Python libraries for text processing
- Setting up your development environment
3. **Crafting Effective Prompts:**
- Understanding prompt structure and components
- Techniques for creating clear and concise prompts
- Examples of effective prompts for various tasks
4. **Interacting with LLMs:**
- Introduction to popular LLMs (eg, GPT-3, GPT-4)
- Using APIs to interact with LLMs
- Generating text responses based on your prompts
5. **Advanced Prompt Techniques:**
- Handling complex queries and multi-step instructions
- Refining prompts for improved accuracy and relevance
- Using prompts for different applications (eg, content generation, data analysis)
6. **Practical Projects:**
- Building a text generation application
- Creating a chatbot using prompt engineering techniques
- Developing a data extraction tool using LLMs
7. **Ethical Considerations and Best Practices:**
- Ensuring ethical use of LLMs and prompt engineering
- Best practices for responsible AI development
- Avoiding common pitfalls and challenges
8. **Future Directions and Further Learning:**
- Exploring advanced topics in prompt engineering
- Keeping up with the latest advancements in LLMs
- Resources for continued learning and development
#### Who Should Enroll:
- Beginners with no prior experience in prompt engineering or LLMs
- Individuals interested in learning Python programming
- Aspiring AI enthusiasts looking to explore the potential of LLMs
#### Prerequisites:
- Basic computer literacy and familiarity with high school-level mathematics
- No prior programming or AI experience required
#### Race Outcomes:
By the end of this course, you will be able to:
- Understand the fundamentals of prompt engineering
- Write and execute Python code for prompt engineering tasks
- Create effective prompts to interact with LLMs
- Develop practical applications using LLMs
- Apply ethical considerations and best practices in your work
Join us in "Prompt Engineering using Python and LLMs" to embark on your journey into the world of AI and prompt engineering. Gain the skills and confidence needed to create impactful solutions and unlock the full potential of Large Language Models.
Ask a question
Send a message explaining your needs and Mourad will reply soon:
The more detail, the better.
Ex. "Hi, when are you available to meet for a lesson?"
Ex. "Hi, when are you available to meet for a lesson?"
Availability of a typical week
(GMT -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
---|---|---|---|---|---|---|---|
0 | |||||||
1 | |||||||
2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | ||
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | ||
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | |||
5 | Monday at 5:00 | Tuesday at 5:00 | |||||
6 | Tuesday at 6:00 | Wednesday at 6:00 | Friday at 6:00 | ||||
7 | Monday at 7:00 | Friday at 7:00 | Saturday at 7:00 | ||||
8 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | |||
9 | Wednesday at 9:00 | Friday at 9:00 | Saturday at 9:00 | ||||
10 | Tuesday at 10:00 | ||||||
11 | Monday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | |||
12 | Monday at 12:00 | Tuesday at 12:00 | |||||
13 | Wednesday at 13:00 | ||||||
14 | |||||||
15 | |||||||
16 | |||||||
17 | |||||||
18 | |||||||
19 | |||||||
20 | |||||||
21 | |||||||
22 | |||||||
23 |
from £20.99Online via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since June 2022
- Phone number verified
- Google connected
Availability of a typical week
(GMT -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
---|---|---|---|---|---|---|---|
0 | |||||||
1 | |||||||
2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | ||
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | ||
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | |||
5 | Monday at 5:00 | Tuesday at 5:00 | |||||
6 | Tuesday at 6:00 | Wednesday at 6:00 | Friday at 6:00 | ||||
7 | Monday at 7:00 | Friday at 7:00 | Saturday at 7:00 | ||||
8 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | |||
9 | Wednesday at 9:00 | Friday at 9:00 | Saturday at 9:00 | ||||
10 | Tuesday at 10:00 | ||||||
11 | Monday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | |||
12 | Monday at 12:00 | Tuesday at 12:00 | |||||
13 | Wednesday at 13:00 | ||||||
14 | |||||||
15 | |||||||
16 | |||||||
17 | |||||||
18 | |||||||
19 | |||||||
20 | |||||||
21 | |||||||
22 | |||||||
23 |
from £20.99Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Share
You are here
Private lessons
online via webcam
Similar classes
Salah Eddine
Master Python with Courses Suitable for All Ages and Levels! Beginners, Intermediates, Professionals, Everyone is WelcomeMaster Python with Personalized Courses
Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.
Why Choose My Courses?
Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.
Practical Experience: Learn by doing with real-world projects that build your understanding and skills.
Ongoing Support: Get unlimited email support for any questions you have between sessions.
As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.
Book Your First Lesson:
Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.
Elizabeth
¡Programa, Crea y Practica Español! Scratch y Scratch Jr desde Cero (5-18 años) 🚀💬¿Te gustaría que tus hijos aprendieran programación 💻 mientras practican su español 🇪🇸?
¡Esta es la clase perfecta para ellos! 🎯
Soy profesora de programación y ciencias con más de 10 años de experiencia, y además, ¡soy nativa de España!
Sé lo desafiante que puede ser aprender un nuevo idioma —yo misma sigo perfeccionando mi inglés cada día—, por eso en mis clases hablo español de manera clara y pausada, adaptándome al ritmo de cada estudiante. 🧠✨
En nuestras sesiones, aprenderemos a crear juegos, historias interactivas y proyectos creativos usando Scratch (6-18 años) o Scratch Jr (5-6 años), herramientas perfectas para iniciar en el mundo de la programación de forma divertida y didáctica.
🎯 ¿Qué ofrezco?
Clases 100% individuales y adaptadas.
Aprendizaje de programación desde cero.
Mejora continua del español de manera natural.
Proyectos creativos que desarrollan pensamiento lógico y habilidades digitales.
¡Aprender, crear y practicar español nunca fue tan divertido! 🚀
Hasmik
Class of statistics, computer programming, R programmingI am a graduate in data science with R programming skills. I am able to help the students with assignments, and analysis with their master thesis. My approach is very student-oriented and I explain the subjects in a detailed way so that the students understand the main idea.
Oussama
Python Programming for All Levels: From Fundamentals to Advanced Libraries and FrameworksWhat You Will Learn:
Core Principles: Introduction to programming, algorithms, and data structures to build a strong foundation.
Advanced Libraries and Frameworks: NumPy, Pandas, and Django to create web applications and perform efficient data analysis.
Practical Projects: Real-world applications to strengthen your skills and build an impressive portfolio.
How You Will Benefit:
Students: Gain the necessary skills to excel in academic projects and lay the groundwork for your career.
Self-Taught Learners: Avoid common mistakes and fast-track your progress with clear, hands-on guidance.
Professionals: Enhance your skill set to meet industry demands and open up new career opportunities.
Why Choose My Courses?:
Personalized Approach: Each course is customized to your level and learning pace, ensuring tailored guidance and support.
Theory and Practice: You’ll combine theoretical concepts with hands-on exercises for a comprehensive and lasting understanding.
Solving Real-World Problems: Learn how to tackle the common challenges faced in programming, from debugging to performance optimization.
Mohamed
Data Engineering & Science: Packaging Python Projects & deployment tools either on premise or on Cloud (Amazon AWS)In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments.
Contact me if you want to have more information about the course!
Rony
Learn App Development for Teens! Features three fun beginner, intermediate and advanced levels!Empower young minds to create their own mobile apps with this fun and interactive course! Designed for children aged 9 to 13, this course introduces app development using MIT App Inventor, a beginner-friendly platform that makes coding easy and exciting. Students will learn the basics of programming, user interface design, and problem-solving as they build their own functional Android apps. Through hands-on projects and creative challenges, they will develop logical thinking and digital skills while bringing their ideas to life. No prior experience is needed—just curiosity and a passion for technology!
Gaëlle
AI for children: discover how to use artificial intelligence in English, French and SpanishWould you be interested in learning how to use Artificial Intelligence in your daily life? In my AI classes for kids, you will learn how to use this advanced technology in a practical and fun way!
During our sessions, we'll explore different ways AI can improve our everyday lives, from shopping online to playing video games. In addition, you will learn to code and create your own AI applications.
My classes are suitable for children from 8 years old and are held online via video calls. No previous programming experience is required!
If you are interested in learning about AI and how to use it in your life, feel free to contact me! I'm looking forward to teaching you everything I know about this amazing technology.
Izhar
Python Step by step tutorial for beginners and intermediatePython is a high level programming language. It's object oriented approach help programmers to write simple and logical codes. Due to its easy syntax, it is actually easier as compared to other programming languages.
Having years of experience in coding language, I know how and where to start and move the topics at a good pace. I'll be starting with you from scratch and help you to build your concepts and master over the language.
I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome.
Here is a brief overview of the topics we'll be covering :
1: Introduction To Python
• Installation and Working with Python
• Understanding Python variables
• Python basic Operators
• Understanding python blocks
2: Python Data Types
• Declaring and using Numeric data types: int, float, complex
• Using string data type and string operations
• Defining list and list slicing
• Use of Tuple data type
3: Python Program Flow Control
• Conditional blocks using if, else and elif
• Simple for loops in python
• For loop using ranges, string, list and dictionaries
• Use of while loops in python
• Loop manipulation using pass, continue, break and else
• Programming using Python conditional and loops block
4: Python Functions, Modules And Packages
• Organizing python codes using functions
• Organizing python projects into modules
• Importing own module as well as external modules
• Understanding Packages
• Powerful Lamda function in python
• Programming using functions, modules and external packages
5: Python String, List And Dictionary Manipulations
• Building blocks of python programs
• Understanding string in build methods
• List manipulation using in build methods
• Dictionary manipulation
• Programming using string, list and dictionary in build functions
6: Python File Operation
• Reading config files in python
• Writing log files in python
• Understanding read functions, read(), readline() and readlines()
• Understanding write functions, write() and writelines()
• Manipulating file pointer using seek
• Programming using file operations
7: Python Object Oriented Programming – Oops
• Concept of class, object and instances
• Constructor, class attributes and destructors
• Real time use of class in live projects
• Inheritance , overlapping and overloading operators
• Adding and retrieving dynamic attributes of classes
• Programming using Oops support
8: Python Regular Expression
• Powerful pattern matching and searching
• Power of pattern searching using regex in python
• Real time parsing of networking or system data using regex
• Password, email, url validation using regular expression
• Pattern finding programs using regular expression
9: Python Exception Handling
• Avoiding code break using exception handling
• Safe guarding file operation using exception handling
• Handling and helping developer with error code
• Programming using Exception handling
10: Python Database Interaction
• SQL Database connection using python
• Creating and searching tables
• Reading and storing config information on database
• Programming using database connections
11: Python Multithreading
• Understanding threads
• Forking threads
• Synchronizing the threads
• Programming using multithreading
12: Contacting User Through Emails Using Python
• Installing smtp python module
• Sending email
• Reading from file and sending emails to all users addressing them
directly for marketing
13: Python CGI Introduction
• Writing python program for CGI applications
• Creating menus and accessing files
• Server client program
In case you have any query, please feel free to contact me.
Give yourself a chance for a better future.
All the best
Vladimir
Counselling in Math and Statistics for Analytical ProfessionalsPersonalized counseling in mathematics, statistics, algorithms and economic theory, tailored specifically for programming, data analysis, finance, banking, and informatics. Strengthen your theoretical foundations to write better code, optimize financial and economic models, improve analytical precision, and confidently navigate complex problem-solving tasks.
We will identify your specific theoretical gaps and tackle them directly, using intuitive explanations, guided problem-solving, and focused discussions. My goal is to help you confidently apply mathematical and theoretical concepts in your daily work, projects, or analyses. Reach out to discuss your particular needs, challenges, or topics of interest—together, we’ll develop a customized plan to strengthen your skills and enhance your professional performance.
Jawad
Polytechnician (X) on Master's internship at EPFL gives mathematics lessons at all levelsI am currently an engineering student at the École Polytechnique de Paris and am currently completing my Master's program at EPFL in Lausanne. I offer private mathematics lessons, both in person in Lausanne and online, to high school students and university students (Bachelor's degree).
I acquired solid teaching experience through a 6-month internship in colleges and associations (tutoring, homework help, co-facilitating exercise sessions), as well as by regularly giving private lessons.
My method
My goal is to support each student in a personalized way: understanding of fundamental concepts, strengthening acquired skills, working methods, exam preparation, etc. I adapt to the level and pace of each student, combining rigor, pedagogy and kindness.
Typical course outline
A class typically begins with a discussion to identify current challenges or goals. We then review key concepts and put them into practice through progressive exercises. I also offer additional materials if needed, and a brief debriefing at the end of the session.
What I propose
✅ Mathematics courses in Lausanne (in person) or remotely
✅ For high school students or EPFL students / Bachelor in science or engineering
✅ One-off or regular monitoring (refresher courses, revisions, exams, projects, etc.)
✅ Available weekdays from 6 p.m. and all day on weekends
Pr YSF
Analog and digital electronics, VHDL, FPGA, programmingEngineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me
Muhammad
Your Computer Science Instructor: From Basics to AI & BeyondComputer Science is more than just code—it's the foundation of innovation in today's world. In this comprehensive live class, I’ll guide you through everything from the basics of Computer Science to Object Oriented Programming (OOP), Data Structures & Algorithms (DSA), and advanced computing concepts.
We’ll cover:
Core Programming Languages: Python, C, C++, Java, JavaScript, and more
AP Computer Science Preparation
Hands-on Project Development
Artificial Intelligence, Data Science & Machine Learning
I can teach in my own structured style or fully adapt to your preferred curriculum, pace, and goals—whatever helps you learn best. Whether it’s exam prep or real-world projects, we’ll build your Computer Science skills your way.
Ephraim
Python 101: Master the Language of Programming, From Basics to Advanced ConceptsIn this course, you'll learn Python from the ground up, starting with the basics and progressing to more advanced concepts. You'll gain hands-on experience writing Python code, working with data structures, and using libraries to solve real-world problems. By the end of the course, you'll be confident in your ability to write Python programs, automate tasks, and tackle challenges in various domains.
Imad
Algorithm and programming 1 (The essential bases of programming: Algorithms)Master pseudo-code algorithms in this hands-on course with dozens of different algorithms
In this course, you will learn the basics of computer programming through the fundamental subject taught in all higher schools of computer science: algorithms.
This is the initial stage of your learning to become a computer scientist (programming)
First we will see a broad introduction to computer programming, and we will explain what algorithms are.
Then, you will learn the language of computer scientists by studying "pseudo-code", and you will learn all the concepts of computer science through a multitude of practical exercises.
The topics covered are very broad and comprehensive:
Introduction
- Algorithm Syntax
- data type and Variables
- The operators
- The instructions
- Conditions
- The repetitive structure (loops)
- The tables
- Research techniques
- Sorting algorithms
- dichotomous search
- Functions
- The procedures
- Recursion
-complexity
- Introduction to the C language
- ...
Your first programs...
Finally, you will start programming by creating several algorithms in a specific programming language (here, C language).
These algorithms are applicable in all programming languages.
The goal...
With more than 8 hours of e-courses, quizzes, and an assessment, you will have what you need to continue your learning of computer programming and advance towards your future profession.
Who is this course for?
Beginner in programming
Retraining
Computer science students or future students
Thanks and see you soon !
IMAD
Azzedine
Maîtrisez NinjaTrader: Develop an expert in trading!Get an expert in trading with NinjaTrader!
If you are passionate about trading and souhaitez maitriser on one of the platforms of trading with more people in the market, this announcement is for you!
If you are an expert in NinjaTrader, I offer you some training to help you get into this trading platform as an exception. If you want to use the trading manual or automate your strategies to use the C# language and other personal indicators, these configurations will guide you through the process.
Advice for all Nivea traders, technicians, and experienced professionals, to see who you can attend:
A training app for the use of NinjaTrader, comprenant of navigation in the interface, execution of orders and analysis of operations.
Detailed instructions on the creation and optimization of automated trading strategies using the C# language.
Conseils pratiques sur l'utilisation des indications personnalisés pour ajouter votre touche analytique et prendre des décisions de trading claires.
If you want to generate additional revenues from trading or do trading activities at regular times, you will be able to prepare the necessary concierges and competencies to make profit from your financial markets.
I hope you have the opportunity to develop a veritable expert in trading with NinjaTrader! Contact your maintenant to reserve your place and start your purchases over the successful financing.