Software programming course in C++ and GPU programming with OpenGL

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Both C and Java are one of the most used languages nowadays. Learning them as one of your first languages is a very good first step towards the coding world. I am currently doing my Bachelor in Computer Science at the University of TUM and already have experience on both languages. I will be able to teach you all the basics that you will need to advance forward and be able to create simple to mid-level program. Afterwards you will then be able to continue on your own to further your programming skills.

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What 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.

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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!

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!

Java is one of the most important of all computer programming languages. But learning Java can seem like a daunting task. Not any longer! In this course I will train you well in Java Programming step-by-step. Starting from basis right through the more advanced topics. No prior knowledge is required. Course outlines: - Objected Oriented Programming concepts (OOPS) - Core Java Programming Introduction of Java - Data types and Variables - Methods - Control Flow Statements - Operators and Expressions - While and do-while Loops - Object-oriented Programming - Objects and classes - Using Java Objects - Java Files and I/O - Interfaces and Abstract Classes - Inner Classes

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• Explain “Artificial Intelligence” and how to identify systems using Artificial Intelligence. • Explain “artificial intelligence” and how to identify systems that use artificial intelligence. • Differentiate among the major types and methodologies used in Artificial Intelligence. • Distinguish between the main types and methodologies used in artificial intelligence. • Characterize the goals of AI and the approaches and progress used in achieving these objectives. • Describe the goals of artificial intelligence and the methods and advances used to achieve these goals. • Explain the role of Artificial Intelligence Agents and how they relate to the environment. • Explain the role of AI agents and how they relate to the environment. • Understand how Artificial Intelligence is implemented in the real world. • Understand how AI is applied in the real world. • Understand how Machine Learning (ML) is implemented in the real world. • Understand how to apply machine learning (ML) in the real world. • Understand the fundamentals of “deep learning” and how it works. • Understand the basics of “deep learning” and how it works. • Understand the role of Artificial Intelligence to analyze “Big data.” • Understand the role of artificial intelligence in analyzing “big data.” • Explain the basics of Artificial Intelligence Platforms and how they are used. • Explain the basics of artificial intelligence platforms and how to use them. Main Keywords Trainees should understand: • Key words that trainees should understand: 1. ML Machine Learning 2. DL Deep learning 3. RL Reinforcement Learning 4. Robotics 5. NLP Natural Language Processing (NLP) 6. IOT Internet of things 7. VR Virtual Reality 8. Computational thinking 9. Big data 10. Chatbot 11. Gen AI Generative AI 12. Generative Design 13. Neural Networks 14. Predictive Analytics

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