Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Effectively use the OpenAI API for text, image, and audio generation and processing
Create effective prompts and complex interactions with AI models tailored to application needs
Design and program intelligent components and AI-based automations
Optimize API resource usage to minimize costs and maximize efficiency
Understand the principles of the latest language and multimodal models
Implement and integrate AI solutions in web applications and automation workflows
What we actually do
- · What is AI and Machine Learning (ML)
- · Core concepts: models, training, data, inference
- · Types of AI: supervised, unsupervised, reinforcement learning
- · What are LLMs, how they work, and how they differ from traditional NLP algorithms
- · Example use cases: chatbots, content generation, text analysis, translation, process automation
- · Ethics and risks in AI: bias, data security, responsible usage
- · Overview of the OpenAI platform and available models (GPT-3, GPT-4, Codex, DALL·E, Whisper)
- · API types and typical applications: text generation, completion, classification, NLP tasks
- · How the OpenAI API works – architecture and mechanisms
- · Limits, tokens, and cost management
- · What prompts are and how they influence model output
- · Writing effective prompts – strategies and examples
- · Managing interaction length and context
- · Hands-on exercises: building simple and complex prompts
- · Basics of API calls in popular languages (Python, JavaScript)
- · Tools and libraries supporting integration
- · REST API overview, handling responses and errors
- · Hands-on workshop: building simple apps and bots
- · Cost optimization strategies: prompt length control, caching, batching
- · Testing and scaling AI solutions in production environments
- · Managing multiple contexts and long conversations
- · Secure API usage: risk analysis and safeguards
- · Project examples: chatbots, content generators, recommendation systems
- · Text-to-image generation with DALL·E – practical examples
- · Speech recognition and transcription with Whisper
- · Multimodal integration in applications – workshop
- · Designing conversational applications
- · Session management, personalization, and context tracking
- · Data storage and state management for AI systems
- · Monitoring, debugging, and scaling AI applications
- · Business case scenarios and final practical project
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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