GOMAN.AI

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Master practical AI integration in engineering, from rapid prototyping to multi-agent workflows and voice-first development.

Founder @EVY. Serial CTO for 15+ years

Valentine Zavadskiy

Founder of EVY. Serial CTO with 15+ years of experience and 2 successful exits

EdTech Leader, Head of Learning @BRAYN

Olga Lavrentieva

Learning Experience Architect. Head of Learning, Coaching and People @BRAYN

AI for Developers: From Vibe Coding to Multi-Agent Systems

Product Manager

Software Engineer

Database Developer

Solution Architect

Senior iOS Developer

.NET Software Architect

FX TD

Technical animator

CG Supervisor

Narrative BI

Rubyroid Labs

Wargaming

Cybergizer

Altoros

THE PROBLEM AI is transforming software development, yet many engineers either don’t use it or limit themselves to basic prompting. Common blockers include weak early results, time constraints, unclear integration strategies, tool overload, and pressure to adopt AI without support, leading to fragmented experiments instead of stable production workflows.OUR SOLUTION This four-week course is for those who want to systematize AI integration into engineering workflows. Participants will master practical methods—from rapid prototyping to multi-agent workflows—using a structured, outcomes-focused approach. By course end, attendees will have a working AI-powered prototype and a clear deployment roadmap for AI adoption (LLMs, agents, RAG, MCP) integrated into the development lifecycle. The focus is Voice-First Development: coding through natural language with AI agents, providing richer context, faster feedback, and quicker iteration.📍Want this training for your organization or team? We offer customized in-company editions aligned to your tech stack and business goals (98% client satisfaction). Write to us at hello@goman.ai to discuss your request.

In just 4 weeks, you will transform your approach to AI product development.
 

Learn how AI models and agents work under the hood — in simple terms.

Shift from external AI tools to embedding intelligence in your product.

Build a prototype without touching code — simply by “talking” to AI assistants.

Explore key AI tools and integrate them into your workflow.

Act as an AI product architect and orchestrator.

Gain experience that transforms how you code and boosts your speed  up to 5x.

This course is built for software engineers who already have hands-on coding experience.

For experienced developers

We’ll move fast: expect to write code, experiment, and develop a working prototype during the intensive.

Comfortable with building prototypes

Your preferred programming language doesn’t matter — the focus is on concepts, workflows, and practical application.

Language-agnostic approach

Software developers who recognize the power of AI and eager to put it into practice, but need a structured, hands-on way to get started.

Team leads and software architects looking for the ways to boost team’s performance and unlock smarter ways of working.

Business leaders &amp; founders seeking to gain the technical understanding needed to make informed decisions.

Think, Plan, and Execute Up to 5× Faster With Voice AI

Co-founder at evy.so, former co-founder of Narrative BI & Rubyroid Labs

Learn how switching from typing to speaking allows you to turn speech speed into measurable daily productivity gains.

Increase Productivity Up to 5× with Voice-First Workflows

Learn how to apply voice AI for thinking, drafting, and decision-making — without tech knowledge or complex workflows.

Use Voice AI as a Practical Execution Tool

Discover how to externalize thinking, lower cognitive strain, and preserve mental energy for high-impact work.

Reduce Mental Load and Decision Fatigue

Get access to a curated set of proven voice AI tools used in real professional workflows — not hype tools.

Apply Battle-Tested Voice AI Tools Without Technical Setup

All live participants receive access to a productivity tool designed specifically to support voice-first daily routines.

Get Access to Instructor-Built Productivity Tool

Battle-Tested Guide to Building Multi-Agent Systems in 2026

We'll compare Python’s rich research ecosystem and type safety and latency advantages of TypeScript in backend systems

Ecosystem & Language Trade-offs

We examine when to use direct SDKs or LiteLLM for low overhead, and when frameworks are needed for complex orchestration

Architectural Trade-offs: SDKs vs. Frameworks

A breakdown of core components of agentic systems, from structured outputs and tool discovery to memory and coordination

The Anatomy of a Modern Agent

We compare LangChain/LangGraph and CrewAI using real code to determine which framework best fits your use case

Deep Dive: The Big Two Competitors

We explore MCP and how it standardizes interactions between agents and databases, local files, and APIs

How Agents Connect to the Real World (Action Layer & MCP)

Can Vibe-Coding Managers & Developers Actually Collaborate?

Co-founder at evy.so, former co-founder of Awerty & Narrative BI & Rubyroid Labs

Alex Melchanka

Guest speaker. Board member & Co-Founder at Orangesoft

How to organize work when a developer and a non-technical manager are co-creating daily.

Collaboration:

Does "Vibe-Coding" speed up time-to-market for an MVP, or does it lead to a critical level of technical debt and chaos?

Effectiveness:

The specific tools and tactics we used to translate pure vision into functional code in just four weeks.

Tools & Process:

Is this model a viable, powerful way for professional teams to build products today? Or not?

The Verdict:

Launch Your First Voice AI Agent in 90 Minutes

In this intensive 1.5-hour session, you’ll dive into voice agents and uncover the core components that power them

How voice AI agents process real-time speech: STT, LLM, TTS

Learn which voice framework—LiveKit, Daily, or OpenAI—best fits your specific use case

Compare LiveKit, Daily, and OpenAI's voice solutions

You’ll master key architecture patterns for building robust and scalable voice interfaces

Design voice interfaces with proven production patterns

You’ll see a live demo of a personal voice assistant in action and leave with a clear understanding of how to create one

Build a working voice assistant: live demo + how-to guide

Lessons Learned from Building a Real Multi-Agent AI App

Co-founder at EVY | Former Co-founder of Awerty & Narrative BI & Rubyroid Labs

Learn a practical way to pick AI tools—based on my direct experience struggling with hype and finding what truly works.

How to Select the Right Tools for Your AI Project

Go beyond auto-complete: AI can build your app and boost your productivity with one unconventional approach.

How AI Really Boosts Developer Productivity

AI blurs boundaries—learn how collab with a non-coder turned product vibes into real, user-driven features.

Learn directly from GOMAN.AI