Python Primer for Generative AI
Good morning, AI enthusiasts! Ever since we launched our ‘From Beginner to Advanced LLM Developer’ course, many of you have asked for a solid Python foundation to get started. Well, it’s here!
What’s in the Course?
In this course, you won’t just go through Python fundamentals. You’ll build projects, use LLMs as coding assistants, and develop the problem-solving mindset that AI development demands.
Course Highlights:
- Learn Python by building real AI applications — Every concept is tied to a practical, real-world use case.
- Use LLMs as your personal coding assistants — Learn how to ask the right questions and speed up your learning.
- Think like an AI engineer — Develop problem-solving skills that go beyond just writing code.
Join the Course and Start Coding Today!
Already comfortable with Python? You can jump straight into LLM development with From Beginner to Advanced LLM Developer. Or, if you’re ready to go all in, bundle both courses and save over $125!
Learn AI Together Community Section!
Featured Community Post from the Discord
Abdibrokhim shared a dataset containing brain MRI samples. It includes real observations and conclusions from hospitals. This might come in handy if you are building something in MedTech or trying out a project in healthcare. Check it out on GitHub and support a fellow community member. If you have any questions or suggestions, reach out to him in the thread!
AI Poll of the Week!
It seems fairly evenly distributed, with the biggest use cases in coding and research. What interests you most about agents? Tell me your thoughts on this!
Collaboration Opportunities
The Learn AI Together Discord community is flooding with collaboration opportunities. …ted generation (RAG) by incorporating autonomous decision-making, enabling the chatbot to handle complex queries efficiently. It details the integration of research and development databases, using vector embeddings for document retrieval, and creating a workflow to manage query processing, document retrieval, and response generation. It addresses challenges like DeepSeek-R1’s lack of function call support and demonstrates solutions through text-based commands. The article also demonstrates the chatbot’s ability to autonomously plan actions, improving real-time decision-making and content generation for business or personal use.
Our Must-Read Articles
- Exploring LoRA as a Dynamic Neural Network Layer for Efficient LLM Adaptation By Shenggang Li
This article explores a dynamic approach to Low-Rank Adaptation (LoRA) for efficiently fine-tuning large language models (LLMs). Traditional fine-tuning updates all model parameters, which is computationally expensive. LoRA addresses this by freezing the base model and adding low-rank trainable updates.
- Create Your Own AI Assistant: A Practical Guide to Multimodal, Agentic Chatbots for Everyday Use By Prisca Ekhaeyem
This article provides a step-by-step guide to building a multimodal, agentic chatbot capable of planning vacations, fetching real-time flight data, generating city images, and providing audio responses. Using Python, the author integrates abilities like OpenAI’s GPT-4o-mini for conversational AI, DALL-E for image generation, and SerpAPI for flight data retrieval.
- Comprehensive Report on Model Context Protocol (MCP) with an Introduction to Cursor Rules By Don Lim
This article provides a detailed overview of the Model Context Protocol (MCP) and Cursor Rules, highlighting their role in enhancing AI-assisted software development. MCP standardizes interactions between large language models (LLMs) and external abilities, offering a modular, secure, and scalable framework for integrating diverse resources like databases, APIs, and file systems.
- Quantum AI Computing By Mirko Peters
This article explores the transformative potential of quantum computing, focusing on its foundational concepts like qubits, superposition, and entanglement. It highlights how quantum systems differ from classical computers, offering exponential computational power for applications like cryptography, drug discovery, and climate modeling.
Conclusion
If you are interested in publishing with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards.
FAQs
- What is the course about? The course covers Python fundamentals, LLMs, and problem-solving skills in AI development.
- Is the course suitable for beginners? Yes, the course is designed for beginners who want to learn Python and AI development.
- Can I bundle courses? Yes, if you’re ready to go all in, you can bundle both courses and save over $125!
