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
- Design complex neural network architectures with Keras
- Optimize hyperparameters for maximum performance
- Implement custom callbacks and advanced monitoring
- Deploy scalable Keras models in production
- Integrate Keras with TensorFlow Extended for end-to-end pipelines
- Analyze and debug expert DL models
- Master best practices for production-ready Keras code
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 expert mastery of Keras, your DL models underperform by 40% in accuracy, like 70% of ML projects that fail in production according to Gartner.
Lose business opportunities: deployment times x2, unnecessarily inflated GPU costs of 30k€/year, competitors outpace you with optimized architectures.
Risk critical data leaks without secure callbacks, and stagnate in your career amid the explosive 250% demand for Keras experts by 2025.
Invest now to avoid these costly pitfalls and turn your projects into profitable successes.
Program
Module 1Day 1: Advanced Keras Architectures (hybrid models, TensorFlow tools)
Dive into Keras to build hybrid CNN-RNN networks, use Sequential and Functional API on ImageNet datasets, perform practical transfer learning exercises with pre-trained ResNet, generate your first optimized model deliverables, test in real-time to boost your expert skills.
Module 2Day 2: Hyperparameter Optimization (Keras Tuner, Bayesian methods)
Master Keras Tuner to explore massive hyperparameter spaces, apply Bayesian algorithms and Random Search on concrete video classification cases, code automated scripts, analyze ROC-AUC metrics live, produce tuning reports that turn your models into performance champions.
Module 3Day 3: Custom Callbacks and Monitoring (TensorBoard, EarlyStopping)
Develop custom callbacks for advanced logging and dynamic pruning, integrate TensorBoard into Keras to visualize gradients and losses live, simulate overfitting scenarios on custom datasets, create interactive dashboards, deliver tools ready for your critical DL projects.
Module 4Day 4: Keras Model Deployment (TensorFlow Serving, ONNX, Docker)
Convert your Keras models into scalable services with TF Serving and ONNX, containerize via Docker for AWS cloud or Kubernetes, test batch inferences on GPU hardware, deploy secure REST APIs, obtain production-ready deliverables that accelerate your expert time-to-market.
Module 5Day 5: End-to-End Projects and Keras Best Practices (TFX, Model Security)
Put it all together in a capstone project on real-time anomaly detection, integrate TFX for MLOps pipelines, apply security against adversarial attacks, peer-to-peer code review, finalize portfolio with deployed models, leave with complete expertise to dominate deep learning in the enterprise.
Evaluation method
- Continuous assessment via practical exercises, certified final project, advanced quizzes on real-world cases.
Learning method
- 70% hands-on with Jupyter and Colab, 30% applied theory, real business cases.
Methods, materials and delivery
The Training Keras - Master Advanced Deep Learning as an Expert 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 Keras - Master Advanced Deep Learning 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 Keras - Master Advanced Deep Learning 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
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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