AImpress Training

AI works for your business.
Learn to run it.

Automation, AI agents, Claude Code, vibe coding and selling AI services — explained in plain language for owners, managers and creatives. No code required.

Start for free Log in

practical courses: 31; practical courses
hours of content: ~113; hours of content
certificate included: ✓; certificate included
lines of code to write: 0; lines of code to write

agent-run — build client website

→ reading the brief…

→ generating design + copy…

→ writing code, 14 components…

→ running checks… all passed ✓

→ site deployed in 19:47

this is what you will learn to run ▌

Meet your instructor

Vadym
Samoilenko

CEO, AImpress Ltd

AI & Automation leader, OLIVER Agency

Vadym leads automation and AI at OLIVER Agency, where he has built and maintains 77+ production applications — LLM integrations, RAG pipelines, and multi-agent automation — powering marketing operations for Ford, H&M, L’Oréal, and Barclays.

Before moving into AI and automation, he ran global marketing content operations at OLIVER, overseeing large-scale transcreation across international teams. His background in Economic Cybernetics grounds a practical, data-driven approach to automation strategy.

Prompt Engineering Specialization
Vanderbilt University

Trustworthy Generative AI
Vanderbilt University

Generative AI for Marketing (365 Copilot)
Microsoft

Prompt Design in Vertex AI
Google

Also certified in Make, Power BI, Sales Leadership and Business Development (Laba).

Courses

Start here

Hermes Agent: Build, Automate, and Operate AI Agents

A practical, security-first course on configuring Hermes Agent and using it for automation, development, research, and multimodal work.

17 modules · ~8 h

Explore the course £9.99

AI Foundations

9 modules · ~4 h£24.99

Practical Deep Learning for Coders (based on fastbook)

Train modern models for images, text, tabular data, and recommendations using fastai/PyTorch. Deploy a model to production and understand the risks (data drift, feedback loops, ethics). Explain the mechanics of training: gradient descent, loss functions, metrics, transfer learning.

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8 modules · ~4 h£5.99

Generative AI for Beginners

Beginner developers who want to build LLM-based applications. Product managers and analysts who need a systematic understanding of generative AI. Students and professionals moving into AI from related fields.

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9 modules · ~4 h£19.99

AI Basics: LLMs and the Hugging Face Transformers Library

Explain how the Transformer architecture works (attention, encoder/decoder) and the LLM lifecycle. Solve common NLP tasks using `pipeline()` and directly via models and tokenizers. Fine-tune pretrained models using the Trainer API and a full PyTorch training loop.

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8 modules · ~4 h£29.99

Large Language Models (LLM) Course: From Fundamentals to Production

Explain how transformers work: tokenization, the attention mechanism, sampling strategies. Understand the pretraining pipeline: data preparation, distributed training, monitoring. Prepare post-training datasets and perform fine-tuning (SFT, LoRA/QLoRA) and preference alignment (DPO, GRPO/PPO).

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8 modules · ~4 h£24.99

LLMs From Scratch: Build a GPT-like Model with Your Own Hands

Explain the full LLM lifecycle: data → pretraining → fine-tuning. Implement tokenization (including BPE), embeddings, and a sliding-window data loader. Code attention mechanisms from scratch: scaled dot-product, causal, and multi-head attention.

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9 modules · ~4 h£24.99

Machine Learning Zoomcamp — Machine Learning Engineering from Model to Production

Explain when ML is a better fit than rule-based systems, and run a project using the CRISP-DM methodology. Prepare data in NumPy/Pandas, perform EDA, and build a proper validation framework (train/val/test). Train linear regression (including via the normal equation), and apply feature engineering, one-hot encoding, and regularization.

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9 modules · ~4 h£9.99

Machine Learning for Beginners (ML for Beginners)

Explain what ML is, how it differs from AI and deep learning, and address questions of model ethics and fairness. Prepare and visualize data, train regression models (linear, polynomial, logistic) and evaluate their quality. Build classifiers (logistic regression, KNN, SVM, decision trees, ensembles) and choose the right algorithm for the task.

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8 modules · ~4 h£29.99

Neural Networks: Zero to Hero

Explain and manually implement backpropagation. Build character-level language models: from bigrams to an MLP, a WaveNet-like network, and a GPT transformer. Diagnose the training of deep networks: activation and gradient statistics, Batch Normalization, initialization.

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8 modules · ~4 h£9.99

Prompt Engineering Guide

For anyone who regularly works with ChatGPT, Claude, Gemini, and other LLMs and wants consistently high-quality results. Developers and product managers building LLM-based applications. Analysts, marketers, and content specialists automating their work with AI.

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8 modules · ~4 hFree

Foundations of Artificial Intelligence (AI for Beginners)

Beginner developers and students who want to systematically understand AI. Analysts and engineers moving into machine learning and deep learning. Teachers who need a ready-made structured curriculum.

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AI Agents

8 modules · ~4 h£19.99

Introduction to LangGraph (LangChain Academy)

Design state graphs: state schema, nodes, plain and conditional edges, reducers. Build tool-using agents (the ReAct pattern) and routers. Manage conversation memory: checkpointers, message trimming/filtering, summarization, external databases (SQLite).

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8 modules · ~4 hFree

AI Agents: From Fundamentals to Certification (Hugging Face AI Agents Course)

Developers and data specialists who want to build applications powered by LLM agents. ML engineers exploring agentic frameworks (smolagents, LlamaIndex, LangGraph). Technical specialists preparing for projects involving RAG, tool calling, and agent evaluation.

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7 modules · ~4 hFree

AI Agents for Beginners

For developers and analysts who want to learn to build AI agents from scratch. For practitioners already familiar with generative AI (prompts, LLMs) who want to move from chatbots to autonomous systems. For technical managers who need to understand the architecture, risks, and cost of agentic solutions.

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7 modules · ~4 hFree

Anthropic Courses: Working with Claude — From API to Tools

For developers and analysts starting out with the Claude API. For prompt engineers who want to systematize prompting techniques. For engineers who need to build LLM workflows: prompt evaluation, tool use, and chatbots.

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9 modules · ~4 h£29.99

The GenAI Agents Course: Building AI Agents from Simple Scripts to Production SystemsNew

Python developers moving into LLM applications and agentic systems; ML/Data Science engineers looking to master agent orchestration (LangChain, LangGraph, CrewAI, AutoGen, OpenAI Swarm, MCP); architects and tech leads evaluating agentic architectures for products;

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8 modules · ~4 h£19.99

LLM Zoomcamp: Building LLM Applications with RAG, Agents, and Vector SearchNew

**Software developers** — want to add LLMs, RAG, and semantic search to real products. **Data engineers** — want to understand how vector search and retrieval pipelines fit into production systems. **ML specialists** — need a systematic approach to evaluating and monitoring LLM applications

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9 modules · ~4 h£19.99

OpenAI Cookbook: A Practical Path for AI Application DevelopersNew

Developers who want to systematically learn the OpenAI API: from the first request to agentic systems. Analysts and ML engineers using LLMs for search, classification, and RAG. Team leads and architects who need to understand the capabilities, risks, and cost of LLM solutions. Level: intermediate. Solid Python required; ML experience is not necessary.

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8 modules · ~4 h£29.99

Course: RAG Techniques — From Basic Pipeline to Graph ArchitecturesNew

Build a basic RAG pipeline (PDF/CSV/JSON → chunks → FAISS → retriever → generation) and verify its reliability. Deliberately choose a chunking strategy (fixed size, semantic, propositional, contextual headers). Improve queries: rewriting, step-back, decomposition, HyDE, HyPE, document augmentation with questions.

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8 modules · ~4 h£19.99

Smol Course: adapting small language models to your tasksNew

Run supervised fine-tuning (SFT) of small models with correct chat templates. Apply LoRA/PEFT for cost-efficient fine-tuning. Align models with human preferences using DPO/ORPO.

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AImpress Originals

6 modules · ~2 hFree

AI for Business: A Practical Course

Go from zero to confident AI user — automation, agents, Claude Code, vibe coding, and AI sales. 6 modules, quizzes, certificate.

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5 modules · ~2 h£24.99

Advanced Claude Code: Designing Loops and Automation

Move beyond one prompt at a time. Learn the four ways Claude Code can keep working without you: turn-based control, goal-driven loops, scheduled automation, and multi-agent workflows — with quizzes to check your understanding.

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6 modules · ~2 h£9.99

AI for Social Media: A Practicum

A hands-on practicum for building a social media content system with AI — strategy, copywriting, visuals, video, automation, and analytics. 6 modules, quizzes, certificate.

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5 modules · ~1 hFree

Job Search with AI: A Practicum

A hands-on practicum for using AI to speed up every stage of a job search — ATS-proof resumes, cover letters, LinkedIn, interview practice, and a repeatable weekly system. 5 modules, quizzes, certificate.

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4 modules · ~1 hFree

The AI Learning Navigator: Free Courses Roadmap

A guide to the world's best free, open-source AI courses — turned into four clear learning paths: foundations, agents, automation, and image/video generation. Pick the path that matches your goal, follow the recommended order, and skip the guesswork.

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8 modules · ~4 h£29.99

Course: ComfyUI — Generating Images and Video with Node-Based WorkflowsNew

**Beginners** who want to learn image and video generation from scratch through visual workflows. **Automatic1111 / Fooocus users** looking to move to a more flexible node-based approach. **Advanced users and developers** who need ControlNet, Flux, video models, an API, and custom nodes.

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6 modules · ~3 h£24.99

About the Course: Diffusion Models — Image and Audio GenerationNew

explain how diffusion models work (the forward and reverse processes, the noise schedule, sampling); generate images and audio with the 🤗 Diffusers library (pipelines, models, schedulers); train your own diffusion model from scratch and fine-tune pretrained models on new data;

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6 modules · ~3 h£24.99

Stable Diffusion: from Practice to Understanding from the Inside (fast.ai)New

Run Stable Diffusion through `diffusers` and control generation: prompts, negative prompts, guidance scale, img2img, seed. Explain and manually assemble the pipeline from its components: the CLIP text encoder, the VAE autoencoder, UNet, and the scheduler. Understand the mathematical essence of diffusion models: noising, noise prediction, and the connection to the score function.

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8 modules · ~4 h£9.99

MCP for Beginners (Model Context Protocol)New

Developers who want to connect LLMs to external tools, data, and services in a standard way. Automation engineers and DevOps specialists rolling out AI agents in their workflows. Architects evaluating MCP for enterprise integrations (Azure, Microsoft Foundry, Entra ID).

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7 modules · ~4 h£9.99

No-Code Automation: The Complete n8n CourseNew

Build workflows with triggers, credentials, and expressions from scratch. Understand n8n's data structure (an array of `json`/`binary` objects) and transform data. Build complex logic: branching, loops, merging flows, sub-workflows, the Code node.

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7 modules · ~4 h£24.99

Tech Interview Handbook: Preparing for a Technical Interview in ITNew

Software developers (junior/middle/senior) preparing for interviews at product and technology companies. Developers who want to switch jobs or break into the international market. Technical leads and engineering managers who need to understand how candidates are evaluated so they can run interviews themselves.

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How learning works

1
Short lessons
Each module is 15–25 minutes of plain-language lessons with real business examples.
2
Practice as you go
Concept cards, worked examples and exercises turn theory into skills you can use tomorrow.
3
Quiz → certificate
Pass each module quiz, finish the course and receive a completion certificate.

Who this is for

Owners & founders

Understand what AI can automate in your company and what to demand from vendors.

Sales & account managers

Pitch AI services with confidence and handle "isn't this just ChatGPT?" objections.

Designers & creatives

Build AI-assisted workflows: from Figma to a live website without a handoff.

Marketers & operators

Spot processes worth automating and speak the same language as AI engineers.

Questions & answers

Do I need to know how to code?+

No. The course is written for business people. Every technical term is explained in plain language, and no lesson asks you to write code.

How long does a course take?+

About two hours per course. Modules are 15–25 minutes each, and your progress is saved so you can learn in short sessions.

Is there a certificate?+

Yes. Finish all lessons and pass every module quiz to receive a named completion certificate.

What languages are available?+

Every course is available in English, Ukrainian and Russian. Switch the language any time — your progress carries over.

Start today — the first course is free

Create an account and go from zero to confidently using AI in one evening.

Get started

AI works for your business.Learn to run it.

VadymSamoilenko

Courses

Hermes Agent: Build, Automate, and Operate AI Agents

AI Foundations

Practical Deep Learning for Coders (based on fastbook)

Generative AI for Beginners

AI Basics: LLMs and the Hugging Face Transformers Library

Large Language Models (LLM) Course: From Fundamentals to Production

LLMs From Scratch: Build a GPT-like Model with Your Own Hands

Machine Learning Zoomcamp — Machine Learning Engineering from Model to Production

Machine Learning for Beginners (ML for Beginners)

Neural Networks: Zero to Hero

Prompt Engineering Guide

Foundations of Artificial Intelligence (AI for Beginners)

AI Agents

Introduction to LangGraph (LangChain Academy)

AI Agents: From Fundamentals to Certification (Hugging Face AI Agents Course)

AI Agents for Beginners

Anthropic Courses: Working with Claude — From API to Tools

The GenAI Agents Course: Building AI Agents from Simple Scripts to Production SystemsNew

LLM Zoomcamp: Building LLM Applications with RAG, Agents, and Vector SearchNew

OpenAI Cookbook: A Practical Path for AI Application DevelopersNew

Course: RAG Techniques — From Basic Pipeline to Graph ArchitecturesNew

Smol Course: adapting small language models to your tasksNew

AImpress Originals

AI for Business: A Practical Course

Advanced Claude Code: Designing Loops and Automation

AI for Social Media: A Practicum

Job Search with AI: A Practicum

The AI Learning Navigator: Free Courses Roadmap

Course: ComfyUI — Generating Images and Video with Node-Based WorkflowsNew

About the Course: Diffusion Models — Image and Audio GenerationNew

Stable Diffusion: from Practice to Understanding from the Inside (fast.ai)New

MCP for Beginners (Model Context Protocol)New

No-Code Automation: The Complete n8n CourseNew

Tech Interview Handbook: Preparing for a Technical Interview in ITNew

How learning works

Short lessons

Practice as you go

Quiz → certificate

Who this is for

Owners & founders

Sales & account managers

Designers & creatives

Marketers & operators

Questions & answers

Start today — the first course is free

AI works for your business.
Learn to run it.

Vadym
Samoilenko