Development

[PT] Masterclass de Engenharia de IA: Do Zero ao Herói da IA

Course Overview

  • Course Title: Masterclass de Engenharia de IA: Do Zero ao Herói da IA ([PT])
  • Instructor: School of AI (AI Academy)
  • Target Audience:
    • Beginners with no prior AI experience
    • Python programmers seeking AI specialization
    • Professionals aiming to transition into AI engineering
    • Entrepreneurs/startup founders building AI-driven solutions
    • Students/enthusiasts passionate about machine learning, deep learning, and NLP
  • Prerequisites:
    • Basic Python programming (recommended but not mandatory)
    • High school-level math (algebra, basic statistics)
    • Stable internet connection and a computer capable of running AI tools
    • No prior AI/ML experience required

Curriculum Highlights

  • Key Topics Covered:

    • Fundamentals of AI & Python for AI
    • Data preprocessing, cleaning, and analysis
    • Machine learning (regression, classification, clustering)
    • Neural networks (CNNs, RNNs, architectures)
    • Deep learning with TensorFlow and PyTorch
    • Natural Language Processing (NLP) & text generation
    • Transfer learning for pre-trained models
    • Computer vision applications
    • Model deployment with Docker and scalable APIs
    • Model monitoring, retraining, and performance optimization
    • End-to-end AI project development (ideation to deployment)
  • Key Skills Learned:

    • Build AI models from scratch using Python, TensorFlow, PyTorch
    • Preprocess and analyze complex datasets for high-quality inputs
    • Train, evaluate, and optimize ML/DL models
    • Design neural networks for advanced applications
    • Apply NLP techniques (text analysis, sentiment detection, chatbots)
    • Leverage transfer learning to adapt pre-trained models
    • Deploy scalable AI solutions with Docker and APIs
    • Monitor model drift and implement retraining pipelines
    • Solve real-world business/technical challenges with AI
    • Develop full-stack AI projects (prototyping to long-term maintenance)

Course Format

  • Duration: 32.5 hours on-demand video
  • Format: Self-paced online course (lifetime access)
  • Resources:
    • 2 downloadable resources (code templates, datasets)
    • 1 article (supplementary reading)
    • Mobile & TV access
    • Certificate of completion
    • Hands-on projects and exercises

Additional Information

  • Language: Portuguese (AI-translated from English)
  • Instructor Rating: 4.4/5 (7,271 reviews)
  • Students Enrolled: 303,422+
  • Course Focus: Practical, project-based learning with real-world AI applications
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