Ignite 26/27

Ignite

2026/2027

A 10-month upskilling program for new-graduate Capgemini consultants entering the AI-consulting world. Three tracks, 42 courses.

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10 months

Aug 2026 – Jun 2027

3 tracks

Builder · Tuner · Shaper

42 courses

20 shared + 7-8 per track

Flexible formats

In-person, Teams and in pairs — as needed

Three tracks

Choose direction early. Go deep.

All Ignitere take the same 20 shared courses. The 7-8 track courses per direction are where the depth lives — what separates a Builder from a Shaper.

Ignite Builder

AI Engineer

Can put an agent in production Monday morning.

Deep technical breadth: agent orchestration, RAG engineering, evals and production practice.

Python · TypeScript · Anthropic · Azure · AWS · LangGraph · MCP

Hvorfor dette sporet

Demand for developers who can put agents into operation is exploding, and supply is thin. Most claim to 'build something with AI'. Few can deliver it reliably. You become one of the few.

Hva du bygger

The client has an AI idea that works as a prototype but needs to be in actual production with users
The client needs to build an agent that performs tasks (not just answers) against internal systems and data
The client must replace a manual step with something that handles edge cases and failures gracefully

Teknologier du jobber med

Python + TypeScript
Anthropic SDK · OpenAI SDK · Azure OpenAI · AWS Bedrock
LangGraph · Pydantic AI · DSPy
Langfuse · OpenTelemetry
Model Context Protocol (MCP)
Docker · Vercel · Railway

Eksempelkurs på sporet

Brukerfeedback og instrumentation
Production agent-patterns
MCP-integrasjoner og custom server-design
Eval-CI med golden sets i Git
Multi-provider stack: Anthropic, Azure, AWS

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Ignite Tuner

Applied AI / Evaluation

Knows whether the AI answer is actually good enough.

Evaluation as craft, fine-tuning, data platforms and agentic analytics.

Databricks · Fabric · Langfuse · W&B · DSPy · pgvector

Hvorfor dette sporet

Every enterprise asks 'how do we know the AI answer is good enough?'. Few can answer. This role defines it in practice — and creates a clear competitive advantage.

Hva du bygger

The client has AI in use but doesn't know if answers are good enough for production
The client has lots of internal data to be searchable or answerable — RAG or graph RAG needs
The client is considering fine-tuning and needs someone who knows when it pays off and when not to

Teknologier du jobber med

Python · Databricks · Microsoft Fabric
Langfuse · Weights & Biases · MLflow
Pinecone · Weaviate · pgvector
DSPy · Instructor · Pydantic AI
Unity Catalog · Apache Iceberg · Delta Lake

Eksempelkurs på sporet

Data governance for AI: lineage og consent
Modell- og data-drift i drift
Evaluation-håndverk: rubrikker og LLM-as-judge
Vector DB trade-offs
Datasett-håndverk og labeling

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Ignite Shaper

AI Transformation Lead

Can make AI actually stick inside a regulated Norwegian enterprise.

Process design, change management, regulatory framing and delivery economics.

EU AI Act · Change Mgmt · ROI Modelling · Workshop · Governance

Hvorfor dette sporet

The market is oversupplied with 'we built a prototype'. It is undersupplied with 'we made it stick'. This track builds that craft — and that is where clients pay premium.

Hva du bygger

The client wants to roll out AI broadly across the organisation but lacks strategy, framework and plan
The client has pilots that don't survive the handover — needs change management and handover methodology
The client is in a regulated industry (banking, public, health, energy) and needs EU AI Act compliance

Teknologier du jobber med

AI Impact Assessment templates (EU AI Act)
STRIDE · NIST AI Risk Management Framework
Prosci · Kotter change management
Process mining · ARIS · Signavio
Figma · Miro · Obsidian

Eksempelkurs på sporet

Executive communication for AI-initiativer
Workshop-facilitering for AI-transformation
Prosess-redesign med AI
Norsk sektor-rådgivning
AI-readiness assessment-metodikk

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Ready for the next cohort?

Ignite 26/27 begins 31 August 2026. All Igniters are Capgemini employees — selection is internal.

See the program