AI Enginner 2026 Complete Course, GEN AI, Deep, Machine, LLM

Source: https://www.udemy.com/course/ai-enginner-2026-complete-course-gen-ai-deep-machine-llm/

What you’ll learn

Build and evaluate Machine Learning models using regression, classification, clustering, and ensemble techniques with proper validation and optimization.
Design, train, and debug Deep Learning models including fully connected networks, CNNs, and sequence models (RNNs, LSTMs, GRUs) using PyTorch or TensorFlow.
Understand and implement Transformer-based Large Language Models (LLMs), including attention, embeddings, tokenization, and fine-tuning concepts.
Create production-ready Generative AI applications using prompt engineering, embeddings, semantic search, and Retrieval-Augmented Generation (RAG).
Develop agentic AI systems that perform multi-step reasoning, tool calling, and task execution with memory and control mechanisms.
Apply AI engineering best practices such as feature engineering, model optimization, reproducibility, cost control, evaluation, and performance tuning.
Integrate AI models into real applications by designing full-stack architectures that connect backends, APIs, and user interfaces with AI systems

Requirements

Basic Python programming knowledge
Curiosity to understand how AI works under the hood
No prior experience in Machine Learning, Deep Learning, or Generative AI is required — everything is explained from first principles to production.