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.
Learning objectives
- Master advanced Prompt Engineering to optimize professional AI subcontracting
- Develop Deep Learning skills applied to certifying company projects
- Design scalable AI architectures for subcontractors in advanced training
- Implement AI collaboration strategies boosting company performance
- Optimize subcontracting workflows via AI tools for efficiency gains
- Deploy certifying Deep Learning solutions in professional contexts
- Acquire AI subcontractor skills for career transition or advancement
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
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 1AI Subcontractor: Advanced Prompt Engineering (GPT-4, fine-tuning, company cases)
Discover advanced Prompt Engineering techniques with GPT-4 and open-source models, applied to real subcontracting scenarios. Perform practical exercises in fine-tuning prompts for complex AI tasks, analyze performance impacts, produce optimized deliverables for company projects. Integrate iterative feedback, test prompt robustness on professional datasets, master chaining for efficient subcontractor workflows.
Module 2Deep Learning Subcontractor: CNN/RNN Architectures (TensorFlow, PyTorch, implementation)
Dive into advanced Deep Learning architectures CNN and RNN using TensorFlow and PyTorch for AI subcontractors. Develop predictive models for concrete business cases, train on cloud GPU, optimize hyperparameters, generate performance reports. Practice transfer learning on custom datasets, deploy functional prototypes, integrate professional metrics evaluation for immediate subcontracting deliverables.
Module 3AI Subcontractor: Model Optimization (quantization, distillation, edge deployment)
Optimize Deep Learning models for subcontracting via quantization and knowledge distillation for business efficiency. Apply pruning techniques on real projects, measure real-time inference gains, deploy on IoT edge devices. Perform comparative benchmarks, produce automated CI/CD pipelines, test hybrid cloud scalability, deliver production-ready certifying solutions.
Module 4AI Projects Subcontractor: Agile Collaboration (Git, Docker, MLOps pipelines)
Master MLOps for AI subcontractors in agile teams, integrate Git, Docker, and Kubernetes workflows. Build end-to-end pipelines with MLflow, monitor production models, manage dataset versioning. Simulate multi-subcontractor company collaborations, deploy secure APIs, analyze incident logs, generate monitoring dashboards for quick decisions and compliant deliverables.
Module 5Certifying AI Subcontractor: Final Projects (Ethical Deep Learning, business cases)
Synthesize learning through AI subcontracting capstone projects, integrate ethical Deep Learning and bias mitigation. Develop solutions for real business cases, present investor pitches, evaluate model ROI. Finalize certifying portfolios, network with professional community, receive expert feedback for immediate deployment, boost professional training skills.
Evaluation method
- Daily practical quizzes on Prompt Engineering and Deep Learning
- Final AI subcontracting project with deployed deliverable
- Peer and coach evaluation on professional skills
- Qualiopi certificate validating Advanced level
Learning method
- Realistic hands-on projects in AI subcontracting
- Successful company Deep Learning case studies
- Interactive remote collaborative exercises
- Personalized feedback from certified experts
Methods, materials and delivery
The Training Subcontractor - Mastering AI in Complex Projects program is delivered onsite or remote (blended-learning, e-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 Subcontractor - Mastering AI in Complex Projects 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 Subcontractor - Mastering AI in Complex Projects 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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