Training Keras Advanced - Optimize Deep Learning Models

Specialist course · Minimum level required

$3,150

  • 2 days
  • Onsite
  • 10 people max.
Ref: CCC491
10 people max.
$3,150
In-company rate: from $5,723 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Without advanced Keras mastery, your models lose 30% accuracy on average, wasting 20h/week on fruitless debugging, missing 40% ROI on critical AI projects where deep learning boosts sales by 50%.

  • Risk obsolescence against agile competitors, production failures with overruns of 10k€/project, team frustration stuck on unoptimized hyperparameters, and market opportunity loss estimated at 25% for untrained data scientists.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Keras Advanced training objectives

  • Implement custom neural architectures with Keras.
  • Optimize training using advanced callbacks and regularization.
  • Master transfer learning and fine-tuning of pre-trained models.
  • Manage large datasets and data augmentation in Keras.
  • Deploy Keras models in production with TensorFlow Serving.
  • Analyze performance and debug complex models.

Program

Keras Advanced curriculum: 2 modules over 2 days

Module 1 : Day 1: Advanced Keras Architectures (custom layers, CNN/RNN, callbacks)

Dive into Keras to build sophisticated models, manipulate custom layers and functional architectures on datasets like ImageNet, perform practical CNN exercises for image classification, integrate callbacks for early stopping and learning rate reduction, generate compelling TensorBoard visualizations, produce your first optimized deliverables ready to scale.

Module 2 : Day 2: Keras Optimization and Deployment (transfer learning, serving, debugging)

Get hands-on with fine-tuning pre-trained models like ResNet, handle large datasets via Keras generators, apply advanced regularization techniques and basic GANs, deploy via TensorFlow Serving in real exercises, debug performance on concrete business cases, leave with production scripts and a smooth integration roadmap.

How Keras Advanced skills are assessed

  • Evaluated hands-on projects, advanced multiple-choice quizzes, real-time individual feedback.

How the Keras Advanced course is taught

  • 70% hands-on practice, real-world exercises, concrete business cases.

Keras Advanced training: access and practical arrangements

The Training Keras Advanced - Optimize Deep Learning Models 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 Keras Advanced - Optimize Deep Learning Models 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 Advanced - Optimize Deep Learning Models 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.

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.

Our method

How Learni guarantees the quality of your Keras Advanced training

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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

Keras Advanced: frequently asked questions

Which tools are used in Keras Advanced training?+
Hands-on work runs on custom layers, CNN, RNN, callbacks, transfer learning and serving. Those tools come from the Keras Advanced program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after Keras Advanced training?+
They can implement custom neural architectures with Keras, optimize training using advanced callbacks and regularization and master transfer learning and fine-tuning of pre-trained models. Those are the stated objectives of the Keras Advanced program at Advanced level, checked by the end-of-session assessment.
What does the Keras Advanced program cover, day by day?+
Day 1: Day 1: Advanced Keras Architectures (custom layers, CNN/RNN, callbacks). Day 2: Day 2: Keras Optimization and Deployment (transfer learning, serving, debugging). The Keras Advanced program runs over 2 days, delivered on site.
How is Keras Advanced training assessed?+
Assessment relies on evaluated hands-on projects, advanced multiple-choice quizzes, real-time individual feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Keras Advanced program, which an L&D team can file as evidence.
How much does Keras Advanced training cost per participant?+
Keras Advanced training costs $3,150 per participant. For an in-company team, the flat rate starts at $5,723 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Keras Advanced training take?+
2 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Keras Advanced training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Keras Advanced training?+
Mastery of Python, basics of TensorFlow/Keras, knowledge of deep learning and neural networks.
Is a certificate issued after Keras Advanced training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Keras Advanced training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere

Let's build your Keras Advanced learning path.

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