Generative AI & LLM Training for Teams
From prompt engineering to production LLM deployments — 6 courses covering the full GenAI stack. Led by Microsoft Certified Trainer Axel Sirota.
Free consultation · No minimum seats
Overview
This path takes your team from zero to production-ready LLM expertise. Start with prompt engineering for immediate productivity, then advance through RAG systems, fine-tuning, and multimodal AI. Every course is hands-on with real-world projects your team can apply immediately.
Whether your team includes business users who need to use ChatGPT effectively or engineers building custom LLM applications, this path has the right entry point. Non-technical professionals can start with prompt engineering, while developers dive straight into building with LLMs.
Courses in This Path
Advanced Prompt Engineering
Master crafting effective prompts for ChatGPT, Claude, and other LLMs. No coding required.
Prompt Engineering for Data Scientists
Advanced prompting techniques for data analysis, code generation, and technical documentation.
Foundations of ML and Generative AI
Hands-on introduction to ML and generative AI — build and deploy your first AI applications.
Implementing RAG for NLP
Build Retrieval-Augmented Generation systems connecting LLMs to your documents and databases.
Finetuning LLMs with Hugging Face
Customize open-source LLMs for your domain using LoRA, QLoRA, and full fine-tuning techniques.
Mastering LLM Deployments
Deploy LLMs at scale with monitoring, cost optimization, security, and performance tuning.
Who Is This For?
- ✓Business users and analysts who want to use ChatGPT, Claude, and other AI tools effectively
- ✓Data scientists building LLM-powered applications
- ✓ML engineers deploying LLMs to production
- ✓Technical leads evaluating RAG vs fine-tuning strategies
- ✓Teams adopting generative AI across the organization
Key Topics Covered
Simple, Transparent Pricing
$2,500/day
Up to 10 students per session · No minimum seats
That's 80% less than enterprise training providers charge for the same quality. Custom curriculum, live instructor, hands-on projects — all included.
Frequently Asked Questions
Do my team members need coding experience for GenAI training?
No — the path starts with prompt engineering courses that require zero coding. Business users can become effective AI users in just 2 days. For building custom LLM applications, Python Intermediate is recommended before the practitioner-level courses.
Should we use RAG or fine-tune our own LLM?
It depends on your use case, and our training covers both approaches. RAG is typically better for connecting LLMs to your existing documents and databases. Fine-tuning is better when you need the model to learn domain-specific language or behavior. Most teams benefit from learning both.
How does this compare to online LLM courses on Pluralsight or Coursera?
Our instructor, Axel Sirota, actually authored 30+ courses on Pluralsight and O'Reilly. With Data Trainers, you get the same expert — but live, interactive, and customized to your team's codebase and use cases. Plus hands-on projects using your actual data, not generic examples.
Can we customize the GenAI curriculum for our industry?
Absolutely. Every course is customized to your team's tech stack, industry, and use cases. We've delivered GenAI training for finance, healthcare, retail, and tech companies — always with industry-relevant examples and projects.
Ready to Train Your Team?
Tell us about your team and goals. We'll create a custom training plan with the right courses, schedule, and pricing for your organization.
Free consultation · No minimum seats · 100% satisfaction guarantee