Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the Claude API to develop professional AI applications
- Develop expert prompts optimized for certified enterprise use
- Design autonomous AI agents with tools and persistent memory
- Implement Claude integrations in secure DevOps workflows
- Optimize Claude performance for production scalability
- Evaluate and fine-tune Claude models for specific business cases
- Deploy GDPR-compliant Claude AI solutions in the enterprise
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Claude API: Advanced Architecture and Secure Authentication (Python SDK, Tokens, Rate Limits)
Dive into the installation of the Anthropic SDK, secure API key configuration, and advanced quota management. Explore Claude 3 Opus and Sonnet models for complex tasks. Practical exercises on OAuth authentication and real-time API call monitoring. Create a first professional script integrating Claude into a Node.js backend, with log analysis and cost optimization via intelligent caching. Deliverable: production-ready connected API prototype.
Module 2Expert Claude Prompt Engineering: Chain-of-Thought and Few-Shot Techniques (Claude Projects Tools, XML Tagging)
Master structured prompts with XML delimiters and system-user-assistant roles. Practice chain-of-thought for multi-step reasoning on complex datasets. Use Claude Projects for persistent contextual memory. Workshops on few-shot learning with business examples in finance and healthcare. A/B testing of prompts to maximize accuracy and reduce hallucinations. Develop an automated prompt generator in Python. Deliverable: library of 50 enterprise-validated expert prompts.
Module 3Claude AI Agents: Custom Tools and Orchestration (Function Calling, ReAct Framework)
Build autonomous agents via Claude's native function calling. Integrate external tools like Serper for web search and Wolfram for calculations. Implement the ReAct pattern for iterative reasoning and action. Exercises on multi-tool agents for enterprise RPA automation. Error handling and retry logic with exponential backoff. Simulate complex workflows like customer data analysis. Deliverable: complete AI agent deployed on Streamlit with interactive dashboard.
Module 4Enterprise Claude Integration: Security, Scalability, and Monitoring (Docker, Kubernetes, LangChain)
Integrate Claude into microservices using LangChain and LlamaIndex for advanced RAG. Containerize with Docker and orchestrate with Kubernetes for high availability. Implement ethical guardrails and sensitive content filtering. Monitor with Prometheus and Grafana for latency and API costs. Practical workshops on Claude-GPT hybridization for robustness. GDPR compliance via prompt anonymization. Deliverable: CI/CD pipeline deploying a scalable AI app on AWS cloud.
Module 5Advanced Claude Projects: Optimization and Production Deployment (Fine-Tuning Proxy, A/B Testing)
Develop a personalized capstone project such as an enterprise chatbot or predictive analysis. Optimize tokens via distillation and quantization. Live A/B tests with business metrics like ROI and NPS. Simulate fine-tuning via adaptive prompts and custom datasets. Code review with pair-programming alongside the expert trainer. Prepare serverless deployment on Vercel or Lambda. Deliverable: ready-to-use certified Claude AI application with complete documentation and post-training support.
Evaluation method
- Expert multiple-choice quiz to validate learning outcomes at the end of the training
- Continuous assessment through practical exercises and AI agents
- Presentation of the capstone project to the trainer and peers
Learning method
- Courses led by an active Claude expert trainer
- Practical exercises on real business cases and datasets
- Progressive capstone project throughout the training
- Complete course materials provided to each participant
Methods, materials and delivery
The Training Claude - Mastering Generative AI as an Expert program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Claude - Mastering Generative AI as an Expert program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Claude - Mastering Generative AI as an Expert program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training Claude - Mastering Generative AI as an Expert training cost?+
The individual price is $7,350 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Claude - Mastering Generative AI as an Expert training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python, REST APIs, intermediate prompt engineering, and LLMs
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
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