Curriculum

Our curriculum is structured as a sequential development system — from basic understanding to strategic integration of AI into professional processes. Each level deepens the previous one and adds new thinking tools, structure and methodology.

LEVEL 1 — FREE KEY
Fundamentals
Goal: to form a basic understanding of the principles of AI and teach how to interact with the tools correctly.

What is included:

  • Introduction to AI
  • What is AI and how does it work
  • Fundamentals of algorithmic forecasting
  • System limitations
  • Types of AI tools
  • Text systems
  • Analytical tools
  • Automation solutions
  • Formulating clear queries
  • Context
  • Limitations
  • Response format
  • Answer analysis
  • Logic checking
  • Accuracy assessment
  • Refining results
  • Ethical principles of use

Level result:
The participant understands the basic logic of AI and can formulate structured queries.

LEVEL 2 — NOVA KIT
Practical application
Goal: to move from theory to controlled practice.

What is included:

  • Structure of an effective query
  • Multi-step instructions
  • Working with clarifications
  • Building simple workflows
  • Structure of information
  • Analysis of text materials

Level result:
The participant can manage the process of forming an answer and build simple interaction systems.

LEVEL 3 — ORBIT GUIDE
Systems thinking
Goal: to teach how to work with AI as part of a logical process.

What is included:

  • Systems thinking
  • Multi-level queries
  • Quality control
  • Working with large texts
  • Managing information flows
  • Error analysis
  • Building complex workflows

Level result:
The participant thinks in terms of processes and is able to structure complex tasks.

LEVEL 4 — BEACON FRAMEWORK
Process Architecture
Goal: Designing sustainable work models.

What is included:

  • Architectural Thinking
  • System Design
  • Workflow Documentation
  • Process Optimization
  • Integration into Teamwork
  • Managing Complexity
  • System Adaptability

Level Outcome:
The participant is able to create repeatable systems and streamline workflows.

LEVEL 5 — CORE COURSE
Strategy and Scaling
Goal: Integrate AI into long-term professional activities.

What is included:

  • Strategic Thinking
  • Long-term Planning
  • Workflow Scaling
  • Managing Large Volumes of Information
  • Building Universal Models
  • Quality Control
  • Team Coordination

Level Outcome:
The participant can scale the system and integrate AI into complex projects.

LEVEL 6 — AXIS COURSE
Personal Methodology
Goal: to form your own model of working with AI.

What is included:

  • Formation of personal principles
  • Multi-layered processes
  • Management of complexity
  • Deep analysis of results
  • Working with large structures
  • Adaptation of systems
  • Professional development model

Level result:
The participant creates his own methodology and controls complex processes.

LEVEL 7 — ZENITH COURSE
Strategic integration
Goal: management of large-scale systems with AI integration.

What's included:

  • Strategic AI Integration
  • Large-Scale Systems Architecture
  • Multi-Level Coordination
  • Analytics and Control
  • Risk Management
  • Long-Term Development Planning
  • Methodology Evolution
  • Comprehensive Strategic Project

Level Outcome:
The participant is able to build long-term systems and manage complex structures.

Ecrlipticar AI Tools Curriculum diagram with futuristic design elements on a dark background