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Artificial Intelligence

AI Engineer

Learn advanced prompting techniques and build intelligent AI agents using modern frameworks. The course includes practical projects in finance, cybersecurity, and real-world automation scenarios.

Beginner On-site 16 weeks 64 hours Next group: June 22, 2026

About this course

Learn advanced prompting techniques and build intelligent AI agents using modern frameworks. The course includes practical projects in finance, cybersecurity, and real-world automation scenarios.

Training program

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  1. 1 Python Basics & Data Structures
  2. 2 Control Flow & Functions
  3. 3 Modules, Files, and Error Handling
  4. 4 Object-Oriented Programming & NumPy
  5. 5 Data Analysis & Visualization with Pandas
  6. 6 Web & API Integration
  7. 7 Capstone Project 1
  1. 1 Machine Learning
  2. 2 Deep Learning
  3. 3 LLM Basics
  4. 4 Prompt Engineering & Tool Use
  5. 5 Retrieval-Augmented Generation (RAG) Systems
  1. 1 Agent Fundamentals & Planning
  2. 2 Agent Architecture & Memory Systems
  3. 3 Agent Frameworks & Best Practices
  4. 4 Multi-Agent Coordination & Orchestration
  5. 5 Model Context Protocol (MCP) & Tooling
  6. 6 Capstone Project 2
  1. 1 Computational Thinking and Pythonic Design
  2. 2 Core Data Structures and Iterative Abstractions
  3. 3 Control Flow, Functions, and Modular Design
  4. 4 Filesystems, Packages, and Error Resilience
  5. 5 Object Orientation and Numerical Computation
  6. 6 Applied Data Engineering & Visualization
  7. 7 Web and API Integration
  8. 8 Capstone Project 1 — Intelligent Data Dashboard
  1. 1 Applied Machine Learning Paradigms
  2. 2 Algorithmic Frameworks and Model Optimization
  3. 3 Deep Learning Systems
  4. 4 Foundational LLM Architecture and Token Dynamics
  5. 5 Prompt Engineering and Cognitive Tool Use
  6. 6 Retrieval-Augmented Generation (RAG) Systems
  7. 7 Capstone Project 2 — Domain-Aware LLM System
  1. 1 Agent Fundamentals and Planning Mechanisms
  2. 2 Agent Architecture and Memory Systems
  3. 3 Frameworks and Best Practices for Autonomous Agents
  4. 4 Multi-Agent Coordination and Emergent Behavior
  5. 5 Model Context Protocol (MCP) and Tooling
  6. 6 Agent System Deployment and Scaling
  7. 7 Capstone Project 3 — Autonomous Multi-Agent System

Upcoming groups

June 22, 2026

Office

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Days
Mon- Thu
Hours
19:00 - 21:00

Instructors

Natig Mamishov

Natig Mamishov

Data Scientist

Yelo Bank