Design robust prompts, AI agents, and complex multi-step workflows
This advanced training course enables participants to design, optimize, and evaluate complex prompts for LLMs. It covers advanced strategies, multi-prompt orchestration, automation, agents, and industrial workflows.
Is it for you ?
Data scientists. Prompt engineers. AI developers. Product owners working on advanced AI products.
Prerequisites
Proficiency in basic prompting. Strong knowledge of generative AI.
What You'll Walk Away With
- ✓ Design advanced prompt engineering strategies
- ✓ Optimize prompts to improve consistency, reliability, and performance
- ✓ Evaluate and diagnose LLM responses
- ✓ Design multi-prompt systems and intelligent agents
Training content
1 Day 1 – Advanced Strategies and Optimization
- Cognitive architectures for LLMs
- Prompt chaining, self-consistency, self-correction
- Optimization: structure, constraints, roles, contextual retrieval
- Optimization workshops: A/B testing of prompts
- Advanced evaluation methods
- Building reusable patterns
Lab / Exercise: Creating a self-evaluating prompt system
2 Key points & takeaways:
- Mastery of advanced strategies
- Ability to diagnose a prompt
- Tools to improve robustness and consistency
3 Day 2 – Multi-Prompt Systems and Agents
- Multi-agents, delegation, specialized roles
- Generating complex workflows
- Advanced techniques: reflection, tool-use, planning
- Building a complete agent
- Enrichment via external knowledge (advanced RAG)
- Workshop: supervised agentic pipeline
Lab / Exercise: Creating a multi-prompt agent for a complex use case
4 Key points & takeaways:
- Comprehensive vision of AI agents
- Ability to design complex systems
- Mastery of multi-prompt workflows
📌 Practical information
Our training sessions are offered in Montreal or Quebec City, in person or in a virtual classroom. Dates and locations are specified when you select your session below. If you have any questions, check out our FAQ.
