Advanced image analysis methods using CNN

The Advanced Image Analysis with CNNs training is an intensive workshop designed to introduce participants to the latest deep learning techniques for image analysis.

Duration

24h · 3 days

Ask about the program → See all

Who it's for

Ideal for teams that…

1 Individuals who want to expand their skills in image analysis using CNNs and already have basic knowledge of machine learning and Python

2 Professionals looking to explore advanced techniques for building and optimizing CNN architectures

3 Participants aiming to work on real-world projects in Computer Vision and Deep Learning

4 AI enthusiasts interested in exploring the latest trends and tools used in industry and scientific research

Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

How to design and train advanced CNNs using TensorFlow and Keras

✓

Techniques to prevent overfitting and methods to improve model performance in image tasks

✓

How to interpret CNNs using visualization and analysis of filters and activation maps

✓

The ability to independently execute complex image analysis projects using cutting-edge AI architectures and tools

✓

Understand the basics of AI and LLMs – explained simply, without technical jargon

✓

Configure and effectively use AI tools – from ChatGPT and Copilots to graphic and video applications

✓

Create effective prompts – to get precise and useful AI outputs

✓

Use AI in multimedia creation – graphics, presentations, audio, and video

✓

Build and implement AI agents – to handle documents, knowledge bases, and internal processes

✓

Consciously adopt AI in your organization – understanding opportunities, risks, and legal/ethical implications

✓

Develop future-ready skills that will be crucial on the job market

Program · 6 modules

What we actually do

Day 1: Introduction and CNN Fundamentals

M01

Module 1: Basics of Convolutional Neural Networks

· Operation of convolutional, pooling, and fully connected layers
· Representation of digital images as input tensors; processing RGB and grayscale images
· Tools and libraries for efficient image dataset management

M02

Module 2: Building and Training a Basic CNN Model

· Practical exercises implementing simple CNN architectures in TensorFlow/Keras
· Strategies for preventing overfitting: dropout, batch normalization, L2 regularization
· Data preprocessing, image augmentation, and basic model optimization techniques

Day 2: Advanced Techniques and Model Optimization

M03

Module 3: Advanced Architectures and Regularization

· Analysis of more complex CNN architectures (e.g., ResNet, Inception) and their applications
· Advanced regularization strategies and augmentation methods

M04

Module 4: Improving Model Quality and Interpretability

· Automated hyperparameter optimization with KerasTuner and Optuna
· Optimization methods: learning rate tuning, transfer learning strategies, early stopping
· Tools and techniques for CNN interpretability, including visualization of filters and activation maps

Day 3: Practical Projects and Applications

M05

Module 5: Applying CNNs to Real-World Problems

· Image segmentation and object detection in medical, industrial, and other domains
· Introduction to combining CNNs with other techniques (RNNs, GANs) for advanced image analysis tasks

M06

Module 6: Project Workshop and Summary

· Team-based work on selected image analysis problems
· Presentation of results, discussion of best practices, and exploration of trends in computer vision

Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.

How we work

From brief to retro in 30 days.

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief

✓First session within 30 days

✓Pilot before the full decision

✓VAT invoice, payment in instalments possible

Full name

Company

E-mail

Phone

Team size

What does the team need?

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

Optional marketing consents I consent to being contacted for marketing purposes regarding the B2B training offer (e-mail, work phone number) from infoShare Academy Sp. z o.o..

The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

Other programs for teams

See all →