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
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
The useful updates are the ones that change what a school can ask students to produce, assess and present.
Student output
Deployed learning products
Students are shipping public web apps, AI self-assessments, product prototypes and learning tools that make classroom outcomes visible.
Course drop
Recent module additions
The catalogue is expanding around AI in business, LLMs, prompt engineering, workflow automation, governance and applied data skills.
Programme design
Custom academic delivery
LC can turn course drops and market signals into short workshops, semester modules, annual tracks or multi-year pathways.
New course drops
AI literacy + strategy
A practical foundation for business and IT students who need to explain AI use cases, evaluate limits and produce an adoption roadmap.
Open moduleGenAI + automation
A semester pathway for students moving beyond chatbots into reliable LLM workflows, agent concepts and business automation scenarios.
Open modulePrompt design
Prompt structure, output evaluation, hallucination control and reusable prompt libraries for professional and academic workflows.
Open moduleWorkflow delivery
A hands-on course linking MCP-style process design, n8n workflows, APIs, error handling and operational automation.
Open moduleCareer opportunities
AI is creating opportunities for many learner profiles, not only programmers. The pathway starts with facilitation, coordination and business roles, then moves progressively toward AI product building, automation and technical careers.
Project entry point
Organises AI projects, timelines, meetings and communication between business teams, learners, managers and technical profiles.
Facilitation role
Helps teams understand, test and adopt AI tools in daily work, making AI accessible to non-technical users.
People and change
Supports employees and organisations as they move toward AI-assisted workflows, new habits and new responsibilities.
Workflow role
Maps existing tasks and helps redesign them with AI tools for clearer communication, faster delivery and fewer errors.
Business bridge
Identifies business needs and translates them into practical AI use cases, requirements and success criteria.
Training role
Teaches learners and employees how to use AI tools responsibly, productively and confidently in real situations.
Product direction
Defines what an AI tool should do, prioritises features and connects users, managers and technical teams.
AI quality role
Coaches AI models by curating examples, writing instructions and evaluating outputs to improve accuracy and usefulness.
Human-AI bridge
Explains AI decisions, limits and results clearly to clients, managers and non-technical stakeholders.
Trust and quality
Monitors AI systems for bias, errors, hallucinations and compliance risks so they remain reliable and responsible.
Digital workforce manager
Supervises AI agents and automated workflows, handles exceptions and adds human judgment where needed.
Communication skill
Creates precise instructions that help generative AI produce better texts, ideas, analyses, code and business outputs.
Builder pathway
Turns business problems into AI-powered tools, prototypes and services that clients can actually use.
Automation pathway
Connects AI tools, APIs and platforms to automate repetitive tasks and improve team productivity.
Advanced AI
Works with large language models to improve chatbots, AI assistants, knowledge bases and customer service tools.
Technical pathway
Trains models that predict outcomes, detect patterns and support smarter business decisions.
Technical pathway
Builds intelligent systems that automate tasks, improve services and power new digital products.
Paris AI market watch
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.
Builds applied AI features, LLM interfaces, RAG systems and business-facing AI products.
Turns models, datasets and evaluation workflows into usable prediction or classification systems.
Connects experimentation with deployment, monitoring, cloud infrastructure and model reliability.
Prepares pipelines, analytics, dashboards and data foundations that make AI work credible.
Turn market demand into teaching
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.