Training Keras: Creating High-Performance Deep Learning Models

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: IFQ724
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of building high-performance deep learning models with Keras, your AI projects stall in inefficient training runs and chronic overfitting.

  • Data scientists lose an average of 35% of their time on debugging and failed optimizations, or more than 10 000 € per month in wasted cloud resources.

  • 65% of deep learning initiatives fail for lack of robust models, exposing your company to massive competitive losses and putting your career at risk against agile teams.

  • Every month without advanced skills widens the gap with the competition.

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

Trusted by — schools, companies and industrial groups

41,181 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Keras training objectives

  • Understand the Keras architecture and its advantages
  • Build, train and evaluate deep neural network models
  • Optimize model performance with hyperparameter tuning and callbacks
  • Deepen advanced techniques: CNN, RNN, transfer learning and model saving
  • Deploy Keras models for real-world applications

Program

Keras curriculum: 3 modules over 3 days

Module 1 : Keras Fundamentals and First Models

Introduction to Keras, installation, getting started with the API, sequential model concepts, building and training a first simple model (MNIST classification), introduction to data preprocessing, performance monitoring.

Module 2 : Advanced Models and Optimization

Exploration of functional models for complex architectures, management of custom layers, callbacks (EarlyStopping, ModelCheckpoint), hyperparameter tuning, results visualization with TensorBoard, introduction to overfitting and regularization methods.

Module 3 : Deep Dive: CNN, RNN and Real-World Applications

Creation of convolutional networks (CNN) for images, recurrent networks (RNN and LSTM/GRU) for text and time series, applications to practical projects (image recognition, text classification), transfer learning with pre-trained models, saving and deploying Keras models.

How Keras skills are assessed

  • Practical case at the end of each module
  • Ongoing project throughout the training
  • Final multiple-choice quiz to assess learning outcomes

How the Keras course is taught

  • Interactive courses with real-world examples
  • Supervised hands-on exercises in groups or individually
  • Professional case studies
  • Course materials, notebooks and additional resources

Keras training: access and practical arrangements

The Training Keras: Creating High-Performance 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: Creating High-Performance 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: Creating High-Performance 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 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: frequently asked questions

What can participants do after Keras: Creating High-Performance Deep Learning Models training?+
They can understand the Keras architecture and its advantages, build, train and evaluate deep neural network models and optimize model performance with hyperparameter tuning and callbacks. Those are the stated objectives of the Keras: Creating High-Performance Deep Learning Models program at Intermediate level, checked by the end-of-session assessment.
What does the Keras: Creating High-Performance Deep Learning Models program cover, day by day?+
Day 1: Keras Fundamentals and First Models. Day 2: Advanced Models and Optimization. Day 3: Deep Dive: CNN, RNN and Real-World Applications. The Keras: Creating High-Performance Deep Learning Models program runs over 3 days, delivered on site.
How is Keras: Creating High-Performance Deep Learning Models training assessed?+
Assessment relies on practical case at the end of each module, ongoing project throughout the training and final multiple-choice quiz to assess learning outcomes. Learni issues a completion certificate together with the individual assessment report at the end of the Keras: Creating High-Performance Deep Learning Models program, which an L&D team can file as evidence.
How much does Keras: Creating High-Performance Deep Learning Models training cost per participant?+
Keras: Creating High-Performance Deep Learning Models training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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: Creating High-Performance Deep Learning Models training take?+
3 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: Creating High-Performance Deep Learning Models 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: Creating High-Performance Deep Learning Models training?+
Basic knowledge of Python and machine learning.
Is a certificate issued after Keras: Creating High-Performance Deep Learning Models 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: Creating High-Performance Deep Learning Models 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 learning path.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

Keras training in your city

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks