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AI Engineer Explorer Certificate Course

School of AI

4.4(6.1K students)

Self-paced

All Levels

About this course

Are you ready to take your first step into Artificial Intelligence and become an AI Engineer? The AI Engineer Explorer Certificate Course is your gateway into the exciting and fast-growing world of AI, Machine Learning, and Data Science. Designed for beginners, this hands-on course equips you with the foundational skills you need to start your journey toward becoming a skilled AI developer or AI product builder.In this course, you will begin with Python Programming Basics for AI.

Python is the most popular programming language in the AI world today. You will learn how to write clean Python code, understand variables, loops, functions, and object-oriented programming—laying the groundwork for building real AI applications.Next, you’ll dive into Data Science Essentials for AI, where you will explore data preprocessing, data visualization, and exploratory data analysis (EDA) using tools like Pandas, NumPy, and Matplotlib. Understanding how to work with data is critical in AI, and this section ensures you gain practical, job-ready experience.Then, you’ll master the Mathematics for Machine Learning and AI—a core pillar for any serious AI professional.

We break down the essentials of linear algebra, calculus, and matrix operations in a way that is intuitive and application-oriented, helping you build strong analytical thinking.You will also cover Probability and Statistics for Machine Learning, which is crucial for understanding how AI models learn from data. Topics include Bayes’ Theorem, distributions, standard deviation, confidence intervals, and hypothesis testing—all taught with AI-centric examples that make complex concepts feel natural.Finally, you'll step into the world of Machine Learning itself. In the Introduction to Machine Learning, you’ll learn how algorithms like linear regression, classification, and clustering work under the hood.

You’ll also use Scikit-learn to train and evaluate simple ML models, gaining firsthand experience in how machine learning pipelines are built.By the end of the AI Engineer Explorer Certificate Course, you’ll have a strong grasp of the core concepts of AI, and be well-prepared to move into more advanced topics like Deep Learning, Natural Language Processing, and AI product development. Whether you're a student, software developer, career changer, or tech enthusiast, this course gives you a structured, easy-to-follow path to build your AI foundation.No prior experience requiredHands-on projects includedCertificate of CompletionIdeal for AI beginners, data science aspirants, and future AI product managersTake your first step into the future—join thousands of learners and start your journey to becoming a certified AI Engineer today.

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Level: All Levels

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Duration: Self-paced

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The Certified Master in Agentic AI: A 52-Week Applied Program is the most comprehensive, hands-on training designed to help professionals, developers, and innovators master Agentic AI, AI Agents, and Large Language Models (LLMs) from foundations to advanced applications. Across 52 weeks and 156 expert-led topics, you’ll gain practical skills in AI agent design, multi-agent systems, agent frameworks, retrieval-augmented generation (RAG), AI memory, reasoning, planning, safety, and deployment.This program goes far beyond theory. Each week is packed with applied Agentic AI projects, labs, and case studies that show you exactly how to build, scale, and optimize AI agents for real-world use cases. Whether your focus is business automation, finance, healthcare, education, robotics, IoT, cybersecurity, or creative AI applications, this course equips you with the agentic AI skills needed to thrive in today’s AI-first world.You’ll start with the foundations of Agentic AI, covering the anatomy of an AI agent—including LLMs, memory, tools, and goals. You’ll then dive deep into AI frameworks like LangChain, LangGraph, CrewAI, AutoGPT, BabyAGI, and LlamaIndex, gaining hands-on experience in building, orchestrating, and scaling AI agents. Special emphasis is placed on multi-agent systems, where you’ll explore communication, collaboration, and emergent behavior in complex agent environments.Throughout the course, you’ll learn how to integrate AI agents with modern technologies such as vector databases (FAISS, Pinecone, Chroma), cloud services (AWS, Azure, GCP), enterprise systems (ERP, CRM), workflow automation tools (n8n, Zapier), and observability platforms (Prometheus, Grafana, OpenTelemetry). You’ll also gain expertise in AI safety, guardrails, human-in-the-loop feedback, and governance frameworks, ensuring you can design trustworthy and compliant agent systems.A major highlight of this program is its focus on applied learning. You’ll build domain-specific AI agents for industries like finance, healthcare, law, education, government, and entertainment. You’ll create intelligent tutoring systems, trading strategy agents, compliance bots, medical assistants, creative storytelling agents, and robotics controllers. Every project is designed to strengthen your ability to apply Agentic AI to solve real business and societal challenges.In the final quarter, you’ll advance into autonomous AI agent design, focusing on self-improving agents, swarm intelligence, lifelong learning, and human-AI collaboration. You’ll master AgentOps, including CI/CD pipelines, deployment strategies, observability, metrics, ROI evaluation, and performance optimization. The program concludes with a capstone project, where you and your peers will design, deploy, and present a full-scale Agentic AI solution—a real portfolio piece to showcase your mastery.By the end of this Agentic AI certification, you’ll be recognized as a Certified Master in Agentic AI, equipped with cutting-edge skills in AI agents, LLMs, multi-agent systems, RAG pipelines, AI safety, and enterprise-scale deployment. This is not just a course—it’s a career-transforming journey into the future of Agentic AI.

[ES] Bootcamp de IA Práctica y Certificación en 7 Días

School of AI

Este curso está traducido mediante IA del inglés al español para que puedas aprender tecnologías de vanguardia en tu idioma nativo.Bienvenido al "Bootcamp de 7 Días de Desarrollo Práctico de IA: Construye Proyectos de IA Reales Desde Cero", un curso diseñado para principiantes absolutos que desean adentrarse en el mundo de la inteligencia artificial (IA). Este curso es ideal para quienes tienen poca o ninguna experiencia previa en programación o IA, pero poseen la curiosidad y motivación para aprender. Ya seas estudiante, estés cambiando de carrera o simplemente tengas interés en construir tu primer proyecto de IA, este curso está estructurado para llevarte de cero conocimientos a desplegar modelos de IA en el mundo real.Durante 7 días, construirás proyectos todos los días, comenzando con lo básico de la programación en Python hasta desplegar un modelo de IA completamente funcional en la web. Cada día está lleno de proyectos prácticos, aplicaciones reales e instrucciones fáciles de seguir para que no solo adquieras conocimientos teóricos, sino también habilidades aplicables de inmediato en el mundo real.Lo que aprenderás:Este curso cubre todo lo que necesitas para empezar en el desarrollo de IA. Cada día se centra en un nuevo tema, construyendo progresivamente sobre lo aprendido anteriormente. Aquí tienes una breve visión general de lo que puedes esperar:Día 1: Fundamentos de Python para IAComenzamos con la base: programación en Python. Python es el lenguaje más popular para IA, y al finalizar el Día 1 entenderás la sintaxis básica, tipos de datos, flujo de control y cómo usar librerías esenciales como NumPy y Pandas. También construirás tu primer programa sencillo, preparando el terreno para los proyectos de IA que vienen.Día 2: Análisis Exploratorio de Datos (EDA)Los datos son el pilar de la IA, y antes de entrenar modelos, debes saber analizarlos. En el Día 2 aprenderás a limpiar, manipular y visualizar datos. Usando librerías como Matplotlib y Seaborn, explorarás conjuntos de datos, manejarás datos faltantes y visualizarás relaciones entre características. Trabajarás con datos reales para descubrir patrones ocultos.Día 3: Introducción al Aprendizaje Automático (Machine Learning)En el Día 3, nos sumergimos en el aprendizaje automático con un enfoque en regresión lineal. Aprenderás los fundamentos del aprendizaje supervisado, incluyendo cómo dividir tu conjunto de datos en entrenamiento y prueba, entrenar un modelo y evaluar su desempeño. Al final del día, construirás tu primer modelo predictivo para predecir variables continuas como precios de viviendas.Día 4: Modelos de Clasificación en Machine LearningLuego, abordarás problemas de clasificación usando regresión logística. Ya sea prediciendo si un correo electrónico es spam o clasificando la pérdida de clientes, este día te enseñará a construir un modelo de clasificación y evaluarlo con métricas como precisión, recall y exactitud. También interpretarás matrices de confusión para analizar el rendimiento de tu modelo.Día 5: Redes Neuronales y Deep LearningEl Día 5 introduce el fascinante mundo de las redes neuronales. Construirás una red neuronal feedforward simple para clasificar dígitos manuscritos usando el conjunto de datos MNIST. Trabajarás con librerías como TensorFlow o PyTorch y aprenderás conceptos clave como funciones de activación, retropropagación y entrenamiento de modelos de deep learning.Día 6: Procesamiento de Lenguaje Natural (NLP)El Día 6 se centra en el Procesamiento de Lenguaje Natural (NLP), donde construirás un modelo de análisis de sentimientos usando datos de texto. Aprovecharás modelos preentrenados de Hugging Face o crearás el tuyo propio con TensorFlow para clasificar texto como positivo o negativo. Aprenderás sobre preprocesamiento de texto, tokenización y transferencia de aprendizaje en NLP.Día 7: Despliegue de un Modelo de IA como Servicio WebEn el último día, aprenderás a desplegar tus modelos de IA como servicios web usando Flask. Integrarás tus modelos en una aplicación web para que los usuarios puedan interactuar a través del navegador. Además, desplegarás tu app en plataformas en la nube como Heroku. Al final del día, tendrás una aplicación web impulsada por IA accesible para cualquier usuario.¿Para quién es este curso?Principiantes absolutos: No se requiere conocimiento previo en programación o IA. Este curso está pensado para ser amigable para principiantes.Estudiantes: Si estudias IA, aprendizaje automático o ciencia de datos, este curso te proporcionará experiencia práctica esencial para afianzar tus conocimientos.Personas en transición de carrera: Si deseas cambiar de carrera hacia IA o aprendizaje automático, este curso te dará una base sólida para comenzar tu viaje.Entusiastas y aficionados: Si simplemente tienes curiosidad por la IA y deseas construir proyectos por diversión, este curso ofrece instrucciones fáciles de seguir.¿Por qué tomar este curso?Este curso no se basa solo en teoría: ¡es acción pura! Construirás proyectos reales para tu portafolio en tan solo una semana. Cada día está lleno de ejercicios prácticos de codificación y creación de proyectos que hacen que aprender desarrollo de IA sea sencillo y accesible. Ya sea para impulsar tu carrera, impresionar a empleadores o explorar el mundo de la IA por interés personal, este curso está diseñado para que tu aprendizaje sea dinámico, interactivo y gratificante.¿Listo para construir proyectos de IA desde cero en solo 7 días? ¡Empecemos!

Generative AI & LLMs Foundations: From Basics to Application

Data Science Academy

"This course contains the use of artificial intelligence in creating scripts, visuals, audio, and supporting content"This 8-week course is a complete foundation in Generative AI and Large Language Models (LLMs), designed to help you build both conceptual understanding and practical skills. The program is structured to gradually move from the basics of generative models to advanced applications, customization, safety, and a capstone project that showcases your abilities. The course begins with an introduction to Generative AI, where you will explore tokenization, attention mechanisms, and the transformer architecture that forms the backbone of modern LLMs. You will learn how text generation works, experiment with prompt design, and analyze the impact of model parameters like temperature and top-p on creativity and accuracy. Building on this, the course dives into the foundations of large language models, exploring embeddings, perplexity, and context windows. You will also study core generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and diffusion models, gaining an intuitive understanding of how these models generate text, images, and structured data. The practical modules allow you to apply Generative AI in practice, including summarization, creative writing, code generation, data augmentation, and image synthesis. You will use modern tools and frameworks like Hugging Face Transformers, LangChain, vector databases (FAISS, Pinecone), and deployment frameworks such as FastAPI and Hugging Face Spaces. You will also learn fine-tuning techniques, including prompt engineering, LoRA (Low-Rank Adaptation), and domain-specific customization, so you can adapt LLMs to specialized tasks. In addition, a dedicated module on ethics, safety, and governance helps you understand and mitigate bias, hallucinations, and responsible AI risks. The course concludes with a capstone project, where you will design, implement, and present a real-world Generative AI application, integrating the skills and frameworks covered throughout the program. By the end, you will be equipped with hands-on experience, a portfolio-ready project, and the confidence to apply Generative AI and LLMs in business, research, and innovation.

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AI Engineer Explorer Certificate Course

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Certified Master in Agentic AI: A 52-Week Applied Program

[ES] Bootcamp de IA Práctica y Certificación en 7 Días

Generative AI & LLMs Foundations: From Basics to Application

AI Engineer Explorer Certificate Course

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

Certified Master in Agentic AI: A 52-Week Applied Program

[ES] Bootcamp de IA Práctica y Certificación en 7 Días

Generative AI & LLMs Foundations: From Basics to Application