CrewAI Fundamentals Training in Almaty

CrewAI Fundamentals Training in Almaty, Kazakhstan

This course is designed to provide participants with foundational knowledge and hands-on skills to effectively use CrewAI for multi-agent AI applications.

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CrewAI Fundamentals Training is a professional training program delivered by ProgNXT in Almaty, Kazakhstan. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this CrewAI Fundamentals Training course with hands-on, instructor-led sessions. This course introduces CrewAI, a powerful framework designed for coordinating multiple autonomous AI agents (based on Large Language Models) to work...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: MAQ81
7 Hrs
Last Updated: April 2026

Course Rating5/5

This course introduces CrewAI, a powerful framework designed for coordinating multiple autonomous AI agents (based on Large Language Models) to work collaboratively on complex workflows. Learners will gain an understanding of CrewAI’s architecture, its agent-crew-task structure, and how to design, build, and run multi-agent systems for real-world problem-solving.

Welcome to the official CrewAI Fundamentals Training certification program in Almaty, Kazakhstan. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 7 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic knowledge of Python programming
Familiarity with concepts of Large Language Models (LLMs)
Understanding of APIs and prompt engineering is helpful but not mandatory
No prior experience with multi-agent frameworks required

Participants will be able to:

Understand the core concepts behind CrewAI and multi-agent systems
Set up and configure a basic CrewAI environment
Define agents, roles, goals, and tools
Build collaborative task flows using the CrewAI framework
Integrate LLMs and external tools to enhance agent capabilities
Troubleshoot and optimize multi-agent workflows

Building and managing LLM-based agents
Multi-agent system design and orchestration
Prompt engineering and role definition
Task planning and crew management using Python
Integrating tools (e.g., web search, APIs, databases) with agents
Debugging and performance tuning for AI agents

CrewAI architecture and lifecycle
Agent and crew setup
Task creation and delegation
Role-based prompt design
Multi-step task flows and inter-agent communication
Integration with tools and APIs
Logging, monitoring, and debugging workflows

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Course Agenda:

Introduction to Multi-Agent AI and CrewAI

What are AI agents and multi-agent systems?
Evolution of CrewAI and its applications
Use cases in automation, research, coding, finance, etc.

Setting Up CrewAI

Installing CrewAI and dependencies
Overview of LLMs supported (e.g., OpenAI, Anthropic, etc.)
Basic configuration and environment setup

Core Concepts in CrewAI

Agent, Crew, Role, Goal, and Task definitions
Role-based prompt engineering
Communication and task routing in agents

Building Agents and Crews

Creating agents with custom goals and personalities
Assigning roles and defining tools
Assembling a crew and coordinating workflows

Orchestrating Tasks

Defining single-step and multi-step tasks
Handling task dependencies and outputs
Executing and monitoring crew performance

Debugging and Optimization

Logging and interpreting agent output
Common errors and troubleshooting tips
Performance optimization and scalability

Hands-on Exercises

Slide deck and lecture notes
Python code samples and templates
Hands-on labs with Jupyter notebooks
CrewAI installation and setup guide
API documentation and best practices guide

Hands-on lab exercises and quizzes
Peer review of project output
ProgNXT Certificates of completion will be awarded to participants who successfully complete the course assessment

CrewAI Fundamentals Training Events in almaty

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

22nd Oct 2026→22nd Oct 2026

📍 Almaty, Kazakhstan

26th Oct 2026→26th Oct 2026

November 2026

🌐 Online Instructor-Led

1st Nov 2026→1st Nov 2026

📍 Almaty, Kazakhstan

12th Nov 2026→12th Nov 2026

📍 Almaty, Kazakhstan

27th Nov 2026→27th Nov 2026

🌐 Online Instructor-Led

27th Nov 2026→27th Nov 2026

December 2026

📍 Almaty, Kazakhstan

9th Dec 2026→9th Dec 2026

🌐 Online Instructor-Led

10th Dec 2026→10th Dec 2026

📍 Almaty, Kazakhstan

28th Dec 2026→28th Dec 2026

🌐 Online Instructor-Led

28th Dec 2026→28th Dec 2026

Events for other courses in Almaty, Kazakhstan

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CrewAI Fundamentals Training in Almaty