Format: MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English with subtitles | Duration: 126 lectures (18h 45m) | Size: 8.70 GB

Learn machine learning, deep learning, large language models, and AI systems through practical, real-world projects.

AI Engineer 2026
AI Engineer 2026

What you'll learn:

  • Build and evaluate machine learning models with regression, classification, and clustering.
  • Design, train, and debug deep learning models such as CNNs, RNNs, and LSTMs with PyTorch or TensorFlow.
  • Implement transformer-based large language models, including fine-tuning and tokenization.
  • Create generative AI applications with prompt engineering, retrieval-augmented generation, and semantic search.
  • Develop agentic AI systems that handle complex reasoning and tasks.
  • Apply AI engineering practices for model optimization, cost control, and scaling.
  • Integrate AI models into real applications with full-stack architecture.

Requirements:

  • Basic Python programming knowledge.
  • Curiosity about how AI works under the hood.
  • Previous experience with machine learning, deep learning, or generative AI is not required. The course starts with fundamentals and progresses toward production.

Who this course is for:

  • Aspiring AI engineers.
  • Software engineers looking to move into AI.
  • Data analysts and scientists who want to expand their skills.
  • Students and professionals preparing for AI-focused roles.

FreeDL

UsersDrive

ClicknUpload