AI Engineer | Ingress Academy
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ARTIFICIAL INTELLIGENCE · BEGINNER LEVEL

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.

Beginner16 weeks64 hoursOn-site
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CONDENSED SYLLABUS

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01Introduction to Python7 lessons+

Python Basics & Data Structures

Control Flow & Functions

Modules, Files, and Error Handling

Object-Oriented Programming & NumPy

Data Analysis & Visualization with Pandas

Web & API Integration

Capstone Project 1

02Machine Learning & LLM Fundamentals5 lessons+

Machine Learning

Deep Learning

LLM Basics

Prompt Engineering & Tool Use

Retrieval-Augmented Generation (RAG) Systems

03AI Agent Development6 lessons+

Agent Fundamentals & Planning

Agent Architecture & Memory Systems

Agent Frameworks & Best Practices

Multi-Agent Coordination & Orchestration

Model Context Protocol (MCP) & Tooling

Capstone Project 2

04Python Foundations for Applied Intelligence8 lessons+

Computational Thinking and Pythonic Design

Core Data Structures and Iterative Abstractions

Control Flow, Functions, and Modular Design

Filesystems, Packages, and Error Resilience

Object Orientation and Numerical Computation

Applied Data Engineering & Visualization

Web and API Integration

Capstone Project 1 — Intelligent Data Dashboard

05Machine Learning and LLM Fundamentals7 lessons+

Applied Machine Learning Paradigms

Algorithmic Frameworks and Model Optimization

Deep Learning Systems

Foundational LLM Architecture and Token Dynamics

Prompt Engineering and Cognitive Tool Use

Retrieval-Augmented Generation (RAG) Systems

Capstone Project 2 — Domain-Aware LLM System

06AI Agent Development and Cognitive Systems7 lessons+

Agent Fundamentals and Planning Mechanisms

Agent Architecture and Memory Systems

Frameworks and Best Practices for Autonomous Agents

Multi-Agent Coordination and Emergent Behavior

Model Context Protocol (MCP) and Tooling

Agent System Deployment and Scaling

Capstone Project 3 — Autonomous Multi-Agent System

UPCOMING GROUPS

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STARTS

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On-site
Schedule
To be announced
Format
On-site
Duration
16 weeks · 64 hours
Language
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YOUR INSTRUCTOR TEAM

Specialists matched to the modules they teach.

Course delivery is supported by practitioners across engineering, architecture and production backend development.

NM

Natig Mamishov

Data ScientistYelo Bank
CONTEXTUAL PROOF
“The program helped me connect individual skills into the way real teams design, build and deliver software.”

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APPLICATION THROUGH INGRESS PORTAL

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We use one Portal account for applications, assessments and future learning progress. You will not need to email your details or select the training again.

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  1. 01

    Create or sign in to your Portal accountYour contact details stay connected to one student profile.

  2. 02

    Confirm your application detailsAI Engineer is preselected.

  3. 03

    Submit your applicationThe admissions team receives it immediately and can follow up from the Portal.

SELECTED TRAININGAI EngineerOn-site

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