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Computer programming lessons in Casablanca

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46 computer programming teachers in Casablanca

Trusted teacher: Description: Embark on a transformative journey into the world of Full-Stack Development with our dynamic and inclusive course. Whether you're a budding developer, IT enthusiast, or professional looking to expand your skill set, this course is crafted to empower you with a comprehensive toolkit for creating robust and scalable applications. What You'll Learn: Microsoft Technologies: Master C# programming language for versatile application development. Dive into Asp.net and MVC for building scalable and maintainable web applications. Database Management: Explore MSSQL and PostgreSQL for effective database design and management. Learn to model data, write complex queries, and ensure data security. APIs and Web Services: Understand the principles of API development. Create and consume web services for seamless data exchange. Front-End Development: Develop responsive and engaging user interfaces with React js. Enhance your skills in JavaScript, jQuery, AJAX, Bootstrap, HTML, and CSS. Optional: React Native for Mobile Application Development: Explore React Native for cross-platform mobile app development. Build native-quality applications for iOS and Android. Real-World Projects: Full-Stack Web Application: Develop a complete web application integrating front-end and back-end technologies. Mobile App Project (Optional): Create a mobile application using React Native. Why Choose Our Course: Hands-On Experience: Apply your skills through practical projects and coding exercises. Expert Instructors: Learn from seasoned developers and industry professionals. Portfolio Development: Build a robust portfolio showcasing your diverse development skills. Career Guidance: Receive insights into career paths in Full-Stack Development. Who Is This Course For: Aspiring Developers IT Professionals seeking to broaden their skills Students and Enthusiasts passionate about full-stack development Join us in this immersive journey to become a Full-Stack Development expert. Enroll now to gain the skills needed to create cutting-edge applications that meet the demands of the digital landscape!
Computer programming · Web development
Trusted teacher: Master in Computer Science from the State University of Campinas (Brazil) and university professor in Peru. He has participated in the most important Artificial Intelligence conferences including ACL, NeurIPS, ICML, ICLR, KDD, ICCV and CVPR, summer schools such as Machine Learning (MLSS), Deep Learning (DLRL) and Probabilistic ML (ProbAI). He has also participated in various programming contests and has experience preparing interviews for applications to companies such as Google, Meta, Microsoft, among others. He has extensive experience in the areas of Machine Learning and Deep Learning applied mainly to computer vision and natural language processing. He has experience in teaching, providing illustrative explanations for a better understanding of both the theoretical and practical parts. Some examples of presentations given: - He has also advised students from different countries in their graduation and master's theses, providing them with a theoretical and practical base with examples that they can then use to continue their development. Some of the things I can help you with: - Machine Learning: Linear regression, logistic regression, regularization, LDA, QDA, SVMs, decision trees, random forest, boosting, PCA, clustering (K-means, DBSCAN, hierarchical, GMM), neural networks, model selection, metrics evaluation, MLE, Bayesian learning, data preprocessing, etc. - Deep Learning: Multilayer Perceptron (MLP), backpropagation, activation functions, multiclass classification, optimizers (SGD, Adam, RMSProp, etc.), CNNs, architectures (ResNet, DenseNet, EfficientNet, Siamese, etc.), RNNs, LSTMs, Seq2seq, Attention, Transformers (BERT, GPT, ViT, etc.), autoencoders, generative models (VAE, GAN, Diffusion, etc.), etc. - Languages: Python, C++ - Libraries and frameworks: PyTorch, Tensorflow, Keras, Huggingface, numpy, pandas, scikit-learn, sympy, etc.
Computer programming · Python
Trusted teacher: Gain a 360° overview of exploring and using Power BI to build impactful reports. In this course, you’ll go from zero to hero as you discover how to use this popular business intelligence platform through hands-on exercises. Before diving into creating visualizations using Power BI's drag-and-drop functionality, you’ll first learn how to confidently load and transform data using Power Query and the importance of data models. You’ll also learn to drill down into reports and make your reports fully interactive. You've got the power! Getting Started with Power BI Discover how to navigate this intuitive tool and get to grips with Power BI’s Data, Model, and Report views. You’ll load multiple datasets in the Data view, build a data model to understand the relationships between your tables in Model view, and create your first bar graph and interactive map visualization in Report view. You’ll also practice using Power Query Editor to prep your data for analysis. Transforming Data In this chapter, you'll learn how to shape and transform your data before the data analysis using Power Query Editor. Visualizing Data It’s time to power-up your business intelligence skills! Through hands-on exercises, you’ll learn how to change and format a wide range of visualizations, before moving on to sorting data and creating hierarchies—making it possible for you to drill into your reports. Filtering In the final chapter, you’ll discover how to filter the information in your reports by location and control how these filters interconnect and interact with other visuals in your report.
Information technology · Computer programming
Trusted teacher: ### 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.
Python · Computer programming
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Our students from Casablanca evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from Casablanca to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 8 reviews.

Mathematics made easy for college and university students, with a PhD student from DESY (Hamburg)
Dawit
The first lesson was really good and we will book with him again. He is calm and sympathetic, explains well and seems to cover our topics (IB Maths AI SL) with ease.
Review by ANTJE