What is the price of the Advanced Input Moderation Training training?

The price of the Advanced Input Moderation Training training is 5775 $ excl. tax. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Advanced Input Moderation Training training?

The Advanced Input Moderation Training training takes place over 5 days. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Advanced Input Moderation Training training are: Advanced Python mastery. ML frameworks like TensorFlow. Content moderation experience. A preliminary interview validates your eligibility.

What are the objectives of the Advanced Input Moderation Training training?

The objectives of the Advanced Input Moderation Training training are: Master detection of advanced jailbreak prompts. Implement ML filters for toxic inputs. Manage adversarial attacks on AI models. Optimize moderation pipelines in production. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

Yes, the Advanced Input Moderation Training training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Advanced Input Moderation Training | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Advanced Input Moderation Training training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Advanced Input Moderation Training training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Advanced Input Moderation Training training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training program

Module 1Advanced Fundamentals of Input Moderation

Dive into advanced input moderation. Protect AI models starting today. Analyze modern threats. Jailbreak prompts are proliferating. Detect them effectively. Study common attack vectors: direct jailbreaks, indirect injection, obfuscated payloads. Use advanced regex. Boost detection precision. Integrate semantic embeddings. Compare toxic similarities. Implement dynamic thresholds. Test filter robustness. Real-world cases: Google Bard, OpenAI safeguards. Optimize false positives. Reduce false negatives. Structure professional workflows. Analyze toxic datasets. Train custom classifiers. Measure performance with F1-score. Deploy scalable APIs. Monitor drifts in real time. Respond to incidents quickly. Adopt zero-trust for inputs. Block 99% of threats. Boost user confidence. Scale global moderation. Integrate LLM guards. 35-hour intensive training. 5 transformative days. Flexible remote format. Practice live coding. Receive expert feedback. Access premium resources. Certify advanced skills.

Module 2ML Filters for Toxic Inputs

Build powerful ML filters. Detect input toxicity instantly. Use fine-tuned BERT. Classify hate, violence. Train on millions of examples. Increase accuracy to 95%. Handle multiple languages: French, English, Arabic. Implement chain-of-thought guards. Block malicious reasoning. Test with red-teaming. Simulate professional attacks. Optimize latency under 100ms. Deploy with Docker and Kubernetes. Monitor via Prometheus. Adjust models live. Reduce inference costs. Master transformers. Customize tokenizers. Handle rare edge cases. Integrate Perspective API. Hybridize rules and ML. Boost high recall. Minimize dataset biases. Audit fairness. Comply with GDPR. Scale to billions of requests. Automate CI/CD pipelines. Version models with MLflow. Collaborate with DataOps teams. Analyze attack heatmaps. Predict threat trends. Adopt federated learning. Protect user privacy. Implement watermarking. Trace suspicious prompts. Respond to zero-day threats quickly. Become an AI moderation leader. Apply real-world skills. Transform your career.

Module 3Managing Adversarial AI Attacks

Confront tough adversarial attacks. Perturb input gradients. Make models vulnerable. Learn robust defenses. Use adversarial training. Strengthen with PGD attacks. Measure robustness with CW-score. Implement certified defenses. Prove mathematical security. Manage black-box threats. Handle query-limited scenarios. Optimize evasion detection. Detect spectral perturbations. Block universal adversaries. Test long GCG jailbreaks. Master differential privacy. Mask sensitive data. Integrate safe RAG. Verify external sources. Block data poisoning. Monitor model drifts. Deploy input canaries. Alert on statistical anomalies. Scale cloud defenses: AWS SageMaker guards, GCP Vertex AI, Azure ML secures. Customize SentinelOne. Automate threat hunting. Analyze SIEM logs. Respond to incidents with IR. Restore operations in minutes. Boost total resilience. Zero critical vulnerabilities. Maximize client confidence. 10x moderation ROI. Practice hands-on labs. Simulate live breaches. Debug failures quickly. Code professional solutions. Personalized feedback. Open GitHub resources. Post-training community support.

Module 4Professional Moderation API Integration

Integrate elite moderation APIs: OpenAI Moderation API, Hive Moderation, Unity Perception. Configure secure endpoints. Authenticate API keys. Rate-limit queries. Smart cache responses. Multiple fallbacks. Hybridize on-prem and cloud. Kubernetes operators. Serverless Lambda. Optimize costs by 50%. Structured logs with ELK. Real-time Grafana dashboards. Slack/Teams alerts. Auto-scale horizontally. Manage traffic spikes. Customize JSON payloads. Parse risk scores. Adaptive ML thresholds. A/B test guards. Measure security uplift. Clear ROI dashboards. Comply with 99.99% SLA. Backup critical data. Complete DRP. Migrate legacy systems. Refactor codebases. Adopt federated GraphQL. Moderation microservices. Event-driven Kafka. Async queue processing. Become an expert architect. Lead enterprise projects. Earn certifications and badges. Build real project portfolio.

Module 5Best Practices and Final Projects

Synthesize best practices. Audit complete pipelines. Total zero-trust. Human-in-the-loop hybrid. Escalate grey cases. Measure security KPIs: low MTTD and MTTR. Case studies from Fortune 500. Lessons from breaches. Avoid common pitfalls. Evolving roadmap. Future quantum threats. Post-quantum crypto. Professional ethical AI moderation. Bias mitigation. Government regulation compliance. EU AI Act ready. Deploy capstone projects. Build production-ready apps. Investor pitch decks. Network with industry experts. Receive advanced certificate. Lifetime alumni access. Free threat updates. Practice peer reviews. Collective debugging. Celebrate team successes.