Student output
Deployed learning products
New student deliverables
Students are shipping public web apps, AI self-assessments, product prototypes and learning tools that make classroom outcomes visible.
LC updates
Fresh LC updates for programme planning
New course drops, student work shipped online, and the Paris AI roles shaping what schools should teach next.
This is a curated editorial hub. The market watch is dated June 2026 and is designed for programme planning, not live job counting.
Fresh from LC
What is new enough to matter?
The useful updates are the ones that change what a school can ask students to produce, assess and present.
View projects
Course drop
Recent module additions
Fresh course formats
The catalogue is expanding around AI in business, LLMs, prompt engineering, workflow automation, governance and applied data skills.
Programme design
Custom academic delivery
New programme conversations
LC can turn course drops and market signals into short workshops, semester modules, annual tracks or multi-year pathways.
New course drops
Courses built around current AI work
21h intensive→
AI literacy + strategy
Artificial Intelligence in Business
A practical foundation for business and IT students who need to explain AI use cases, evaluate limits and produce an adoption roadmap.
Open module36h semester→
GenAI + automation
LLMs, Agentic AI & Business Automation
A semester pathway for students moving beyond chatbots into reliable LLM workflows, agent concepts and business automation scenarios.
Open modulePrompt systems→
Prompt design
LLM Prompt Engineering
Prompt structure, output evaluation, hallucination control and reusable prompt libraries for professional and academic workflows.
Open moduleAutomation→
Workflow delivery
MCP, n8n Workflow Automation & API Integration
A hands-on course linking MCP-style process design, n8n workflows, APIs, error handling and operational automation.
Open moduleParis AI market watch
The jobs conversation is becoming a curriculum conversation.
For June 2026 planning, LC is tracking the roles and skill clusters schools can translate into assessable student outputs: portfolios, AI use cases, governance notes, automation scenarios and professional presentations.
AI Engineer / GenAI Engineer
Builds applied AI features, LLM interfaces, RAG systems and business-facing AI products.
Machine Learning Engineer
Turns models, datasets and evaluation workflows into usable prediction or classification systems.
MLOps Engineer
Connects experimentation with deployment, monitoring, cloud infrastructure and model reliability.
Data Scientist / Data Engineer
Prepares pipelines, analytics, dashboards and data foundations that make AI work credible.
Skills LC is translating into modules
Python, SQL and data pipelinesPyTorch, model evaluation and experimentationLLMs, RAG, prompt systems and agent workflowsCloud, MLOps, monitoring and deployment hygieneGovernance, GDPR, AI Act awareness and risk languageProfessional communication for technical decisions
Turn market demand into teaching
Need a course, a semester plan or a full AI pathway?
LC can convert the new deliverables, course drops and Paris AI signals into a custom pathway adapted to your calendar, student level, teaching language and assessment model.