Introduction to Computer Programming for tech enthusiasts

Embark on an immersive journey that will help you and clarify the material as we take a deep dive into of Java, Python, Object-Oriented Programming (OOP), Machine Learning, and Deep Learning, focusing on neural networks, Liquid State Machines (LSM), Genetic Algorithms (GA), and more. Special rate applies for purely web/app development as a part-time full-stack developer/engineer.

Hey! I graduated bachelor's at the Fcaulty of Mathematics in Romania and now I am doing my master's degree in Data Science field. I have some experience in teaching math for over 4 years and I have also graduated the Pedagogical Module. The lessons can be online or onsite, as the student prefers. More than that, I also offer help outside the classes.

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

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The best techniques and programming languages to build the most powerful applications using Java, SpringBot, Angular, Bootstrap, and various databases, with the application of the testing system, Microservices, and many of the latest technologies. teaching best and latest technologies for building web web applications using java, spring boot, angular, bootstrap, database, with testing technologies, micro services architecture and more latest technologies

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What You’ll Learn: Front-end Technologies: HTML, CSS, JavaScript, React.js, Next.js, TailwindCSS for creating dynamic, responsive applications. Back-end Mastery: Node.js, Nest js, Express, and Fastify for building robust and scalable web servers. Databases: MySQL, PostgreSQL, and MongoDB for handling data efficiently. DevOps & Deployment: Learn Docker, CI/CD with GitHub Actions, and cloud deployment practices to ensure your applications are production-ready. How You Will Benefit: Students: Gain the technical skills and portfolio to ace your academic projects and land internships or entry-level jobs. Self-Taught Learners: Stop the guesswork and follow a structured, hands-on approach to mastering full-stack development faster. Professionals: Upgrade your skills to meet the demands of modern web development and position yourself for career growth. Why My Course is Different: Real-World Projects: You'll build applications that solve real business problems, like a complete e-commerce site, RESTful APIs, and microservices. Tailored Learning: Each course is personalized to your experience level and goals, ensuring you get the most out of every session. Problem-Solving Focus: From debugging to performance optimization, you'll learn to tackle real-world challenges confidently. Industry-Relevant Skills: Stay ahead of the curve with training in modern technologies and practices that top employers are looking for.

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### 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.

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Do not deal with the manual with terms of reference statements and basic documents that cannot be obtained in order to avoid the MongoDB problem. Please include the connection to one of the MongoDB données base, comment on simple CRUD operations and sujets clés que l'agrégation, l'indexation, la mode des données et les Transaction. 1- Install MongoDB 2- Implement MongoDB 3- Use of documents and collectibles 4 - Leadership Committee 5- Execute CRUD commands (create, read, update, delete) avec mongo shell 6- Type the register in a MongoDB database 7- Reset the base to remonter specific documents depuis mongo shell. 8- Lagrégation 9- Indexing 10- Amending institutions and transactions

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