FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/Da Receita ao Chef: Torne-se um Engenheiro de LLM
Da Receita ao Chef: Torne-se um Engenheiro de LLM
Development100% OFF

Da Receita ao Chef: Torne-se um Engenheiro de LLM

Udemy Instructor
0(12.4K students)
Self-paced
All Levels

About this course

Este curso foi traduzido por IA do inglês para o português para que você possa aprender tecnologias de ponta no seu idioma nativo. Da Receita ao Chef: Torne-se um Engenheiro de LLM (Com Analogias Culinárias) é um curso divertido e acessível para iniciantes que ensina você a dominar Modelos de Linguagem de Grande Porte (LLMs) sem escrever uma única linha de código. Seja você um curioso sobre IA, alguém querendo entrar no mundo dos modelos de linguagem, ou aspirante a engenheiro de LLM, este curso é seu passaporte para entender e trabalhar com ferramentas poderosas como ChatGPT, Claude, Gemini e LLaMA.

Explicamos conceitos técnicos com analogias criativas com comida—para que você passe de iniciante na cozinha a chef de IA rapidamente. Você vai explorar como os LLMs são construídos, treinados, implantados e avaliados, tudo por meio de analogias fáceis de entender. Imagine a tokenização como picar legumes, o treinamento como assar em grande escala, ou a engenharia de prompts como temperar um prato com perfeição.

Cada módulo foi cuidadosamente desenvolvido para apresentar uma nova habilidade, desde a preparação dos dados e o ajuste fino até avaliação e implantação. Ao final, você dominará conceitos fundamentais como arquitetura de modelos, pré-treinamento, aprendizado por transferência, otimização de prompts, métricas como perplexidade e BLEU, e como lançar suas próprias aplicações com LLM usando ferramentas como FastAPI, Gradio, Hugging Face Spaces e LangChain. Este curso é ideal para estudantes, educadores, criadores, empreendedores e profissionais de áreas não técnicas que desejam aprender os fundamentos da IA e construir aplicações reais com LLMs.

Guiamos você passo a passo por todo o ciclo de vida da IA—desde “O que é um modelo de linguagem? ” até o lançamento do seu próprio chatbot, resumidor ou app de recomendações. Você aprenderá a usar ferramentas no-code, experimentar prompts reais, ajustar modelos existentes, avaliar resultados e até mesmo explorar carreiras como engenheiro de prompts, gerente de produto de IA e arquiteto de LLM.

Nenhuma experiência em programação é necessária. Você aprenderá a se comunicar com LLMs usando linguagem natural, projetar prompts inteligentes e eficazes, e entender o que acontece nos bastidores—desde a coleta de dados e tokenização até o processo de predição do modelo e suas necessidades computacionais com GPUs e TPUs. Também abordaremos temas como detecção de viés, alucinações, ciclos de feedback e estratégias para monitorar e melhorar seus sistemas de IA ao longo do tempo.

Ao final do curso, você terá uma base sólida na teoria de LLMs, um portfólio de projetos práticos e a confiança para entrar no mundo em expansão da IA generativa. Seja para criar seu próprio produto, entrar em uma startup, contribuir com projetos open-source ou simplesmente impressionar os amigos com seu conhecimento em machine learning, este curso vai te levar até lá—com um prato cheio de conhecimento e uma pitada de diversão. Se você está pronto para sair da leitura de receitas e se tornar um chef de LLM, junte-se a nós nessa jornada saborosa pelo mundo dos modelos de linguagem, onde cada conceito é explicado com analogias deliciosas e exemplos práticos.

Skills you'll gain

Data SciencePortuguese

Available Coupons

Loading...

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • 📹Video lectures
  • 📄Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$90.99

Save $90.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/ncp-aii-nvidia-certified-professional-ai-infrastructure

You May Also Like

Explore more courses similar to this one

Machine Learning Mastery: From Basics to Advanced Techniques
Development
0% OFF

Machine Learning Mastery: From Basics to Advanced Techniques

Udemy Instructor

Are you ready to dive into the exciting world of machine learning? Look no further! In this comprehensive Udemy course, you’ll learn everything you need to know about machine learning, from foundational concepts to cutting-edge techniques.Are you ready to embark on an exhilarating journey into the world of machine learning? Look no further! Our comprehensive Udemy course, “Machine Learning Mastery: From Basics to Advanced Techniques,” is designed to empower learners of all levels with the knowledge and skills needed to thrive in this dynamic field.In this course, we demystify machine learning concepts, starting from the fundamentals and gradually progressing to advanced techniques. What You’ll Learn:Understand the fundamentals of supervised and unsupervised learningExplore popular machine learning algorithms.Use natural language processing (NLP) with Supervised Machine Learning Algorithms for Sentiment Analysis & Text Classification.Implement real-world projects using Python and scikit-learn.Optimize models for accuracy and efficiency.Why Take This Course?Practical experience: Learn by doing with hands-on projects and exercises.Portfolio building: Showcase your skills to potential employers.Problem-solving: Develop critical thinking skills to tackle real-world challenges.Continuous learning: Stay updated with the latest advancements in machine learningWhether you’re a beginner or an experienced data scientist, this course will empower you to create intelligent solutions and make an impact in the field of machine learning. Enroll now and start your journey toward becoming a machine learning pro! Here’s what you can expect:Foundational Knowledge:Understand the core principles of supervised and unsupervised learning.Explore regression, classification, clustering, and dimensionality reduction.Algorithm Deep Dive:Dive into popular machine learning algorithms, including linear regression, decision trees, support vector machines, and neural networks.Learn how to choose the right algorithm for specific tasks.Real-World Applications:Apply your knowledge to real-world projects using Python and libraries like scikit-learn.Tackle natural language processing (NLP) challenges with Supervised ML Algorithms for Sentiment Analysis & Text Classification.Model Optimization:Discover techniques for model evaluation, hyperparameter tuning, and performance optimization.Learn how to avoid common pitfalls and enhance model accuracy.Career Boost:Build a strong portfolio by completing hands-on exercises and projects.Gain practical experience that sets you apart in job interviews.Stay Current:Keep pace with the ever-evolving field of machine learning.Stay informed about the latest research and trends.Whether you’re a data enthusiast, aspiring data scientist, or seasoned professional, this course provides a solid foundation and equips you with practical skills. Enroll now and unlock the potential of machine learning!

4.9•2.1K•Self-paced
FREE$113.99
Enroll
Mastering Data Science & AI with Python & Real-World Project
Development
0% OFF

Mastering Data Science & AI with Python & Real-World Project

Udemy Instructor

Unlock the full potential of data science and artificial intelligence with “Mastering Data Science & AI with Python”—a comprehensive, beginner-to-advanced course designed to transform you into a job-ready data scientist and AI developer. Whether you're just starting your coding journey or looking to upskill and build real-world AI-powered applications, this course covers everything you need in one complete package.We begin with the fundamentals of Python, ensuring you're well-equipped with programming basics and critical libraries like NumPy and Pandas. You'll quickly progress to manipulating and analyzing data efficiently, including accessing, cleaning, and filtering DataFrames. Learn how to visualize your insights with powerful charts and graphs that bring your data to life.From there, you’ll dive deep into statistics for data science, the cornerstone for understanding machine learning. You'll master core statistical concepts essential for model development and evaluation. The machine learning section then takes you through supervised and unsupervised learning—covering regression, binary and multiclass classification, clustering algorithms, and dimensionality reduction techniques like t-SNE and PCA.Hands-on practice is the heart of this course. You’ll complete 9 end-to-end projects that simulate real industry scenarios:Automate business workflows with PandasAnalyze large datasets with Google AppsBuild a movie recommendation engine using Non-negative Matrix FactorizationDevelop predictive models and evaluate them using advanced techniquesBuild and deploy a credit risk prediction app with XGBoost and StreamlitCreate LLM-powered AI apps using Ollama, LangChain, and Streamlit—no cloud requiredImplement local Python libraries for AI interactionsWhat truly sets this course apart is its focus on local LLMs and AI automation tools. You’ll explore cutting-edge frameworks like Ollama, interact with models through Web UI, LM Studio, and even build your own AI Code Assistant and RAG-based AI Research App—equipping you with the skills to develop, test, and deploy modern AI systems without relying on expensive APIs or cloud services.All modules are crafted with a blend of theory, code-alongs, and practical exercises. You'll walk away not only with technical knowledge but also a portfolio of working applications that showcase your expertise in Python programming, machine learning, and AI.By the end of this course, you will be able to:Code in Python with confidenceAnalyze, visualize, and model data effectivelyUnderstand and implement ML algorithms from scratchBuild real-world projects that demonstrate your skillsDevelop and deploy AI apps using local LLMs and tools like Ollama and StreamlitThis course is ideal for aspiring data scientists, developers, and AI enthusiasts eager to build practical, high-impact solutions. If you're looking to transition into tech, upgrade your skills, or break into AI development, this is the only course you’ll need.

4.0•5.3K•Self-paced
FREE$97.99
Enroll
Practice Exams: AI Engineer Most Asked Interview Questions.
Development
0% OFF

Practice Exams: AI Engineer Most Asked Interview Questions.

Udemy Instructor

Are you preparing for an AI Engineer role at a top tech company and want to know if you'll pass the technical interview? This practice exam course is your unfair advantage. Built around the most frequently asked questions in real AI Engineering interviews, this course contains 6 full-length, timed practice tests covering every critical domain a modern AI Engineer is expected to master — from foundational Python tooling to advanced MLOps, cloud deployment, and LLM serving infrastructure.  * WHAT'S INSIDE — 6 PRACTICE EXAMSPractice Exam 1 — Python Stack for AI Engineers NumPy, Pandas, PyTorch, TensorFlow, FastAPI, MLflow, scikit-learn, data pipelines, vectorized operations, transfer learning, and production deployment patterns. Practice Exam 2 — Machine Learning Stack Supervised & unsupervised learning, model evaluation, feature engineering, drift detection, experiment tracking, MLOps lifecycle, and deployment strategies. Practice Exam 3 — Docker & Kubernetes for AI Containerization best practices, image optimization, Kubernetes resource management, GPU scheduling, Helm, service meshes, liveness/readiness probes, and CI/CD pipelines. Practice Exam 4 — Vector Databases Embeddings, approximate nearest neighbor (ANN) search, HNSW, IVF, cosine similarity, RAG architecture, semantic search, quantization, and production vector store operations. Practice Exam 5 — APIs & Microservices for AI Engineers REST design, gRPC, GraphQL, API Gateway, rate limiting, authentication (OAuth2, JWT, mTLS), circuit breakers, Saga pattern, event-driven architecture, CQRS, and LLM API integration. Practice Exam 6 — Cloud Platforms (AWS, Azure, GCP) SageMaker, Azure ML, Vertex AI, managed inference endpoints, feature stores, MLOps pipelines, IoT Edge deployment, drift monitoring, and cloud-native AI architecture. * WHY THIS COURSE WORKS Every question includes a detailed explanation for both the correct answer and every distractor, so you understand not just what is right, but why every wrong option fails. This is the fastest way to close knowledge gaps before a real interview. Questions are designed across three difficulty styles: - Direct conceptual questions — test your definitions and mental models - Indirect/scenario-based questions — test your applied engineering judgment - Multi-select questions — test your ability to identify all valid answers simultaneously.* WHO IS THIS COURSE FOR? AI/ML engineers preparing for technical interviews at FAANG, startups, or AI-first companies → Software engineers transitioning into AI Engineering roles → MLOps engineers validating their end-to-end production knowledge → Data scientists moving toward deployment and infrastructure responsibilities → Anyone self-studying AI Engineering who wants to benchmark their readiness * WHAT YOU'LL VALIDATEAfter completing all six practice exams, you will have stress-tested your knowledge across every layer of the modern AI Engineer stack: data handling, model training, experiment tracking, serving infrastructure, API design, containerization, orchestration, cloud deployment, vector search, and LLM integration. You'll know exactly which topics need more study before your real interview — and you'll walk in confident about the rest. No video lectures. No filler. Just high-quality interview questions, expert explanations, and measurable exam-readiness.

0.0•183•Self-paced
FREE$91.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

© 2026 FreeCourse. All rights reserved.