Hotel AGAT, Wojska Polskiego 118, Piotrków Trybunalski, Poland, 97 - 300
Piotrków Trybunalski
Subcategories (23)
Explore Our Courses
ChatGPT for VC/Private Equity
14 HoursChatGPT for Project Management
14 HoursEthical Deployment of LLMs
7 HoursCross-Lingual LLMs
14 HoursLLMs for Financial Market Prediction
14 HoursChatGPT for Insurance
14 HoursLLMs for Environmental Modeling
14 HoursChatGPT Plugins
21 HoursChatGPT for Automation
14 HoursLLMs in Multimodal Applications
14 HoursChatGPT for Product Development
14 HoursLLMs for Cybersecurity
14 HoursChatGPT for Market Research
14 HoursAI on Amazon Web Services (AWS)
14 HoursLLMs for Predictive Analytics
14 HoursChatGPT for Virtual Assistants
14 HoursGenerative AI for Financial Services
14 HoursEdge AI for Smart Cities
14 HoursChatGPT for Sales Enablement
14 HoursSecurity and Privacy in Edge AI
14 HoursLLMs for Content Generation
14 HoursChatGPT for Education and Training
14 HoursCustom Chatbot Development Workshop
14 HoursEdge AI in Autonomous Systems
14 HoursLLMs for Personalized Education
14 HoursChatGPT for Human Resources
14 HoursEdge AI for Healthcare
14 HoursChatGPT for Accounting
14 HoursAdvanced Edge AI Techniques
14 HoursLLMs for Automated Customer Support
14 HoursChatGPT for Banking
14 HoursBuilding AI Solutions on the Edge
14 HoursLLMs for Sentiment Analysis
21 HoursChatGPT (GPT-4) for Developers
14 HoursEdge AI for IoT Applications
14 HoursChatGPT for Legal Services
14 HoursLLMs for Business Intelligence
14 HoursChatGPT for Healthcare
14 HoursIntroduction to Edge AI
14 HoursChatGPT for Social Media Management
14 HoursMultimodal AI for Content Creation
21 HoursLlamaIndex: Enhancing Contextual AI
14 HoursChatGPT for E-commerce
14 HoursMultimodal AI in Robotics
21 HoursGoogle Gemini AI for Data Analysis
21 HoursGenerative AI for Data Synthesis
21 HoursChatGPT for Content Creation
14 HoursGenerative AI for Developers
21 HoursChatGPT for Customer Service
14 HoursIntroduction to Google Gemini AI
14 HoursChatGPT for Finance
14 HoursGenerative AI for Managers
21 HoursEdge AI for Financial Services
14 HoursChatGPT for Executives
14 HoursGenerative AI Advanced
21 HoursEdge AI in Industrial Automation
14 HoursChatGPT for SEO
14 HoursGenerative AI for Beginners
14 HoursFundamentals of Intelligent Driving
21 HoursLangChain Fundamentals
14 HoursAdvanced LLMs for NLP Tasks
21 HoursChatGPT for Marketing
14 HoursIntroduction to Predictive AI
21 HoursPrompt Engineering for ChatGPT
14 HoursIntelligent Applications Advanced
21 HoursIntroduction to Quantum AI
14 HoursLightGBM for Machine Learning
21 HoursAlphaFold
7 HoursEdge AI with TensorFlow Lite
14 HoursOpenAI Sora for Video Creation
14 HoursChatGPT
14 HoursData Mining with Weka
14 HoursAdvanced Analytics with RapidMiner
14 HoursDeepSpeed for Deep Learning
21 HoursAI Engineering Fundamentals
14 HoursMidjourney for Image Generation
14 HoursOpenAI API
14 HoursProjectQ
7 HoursVertex AI
7 HoursApplied AI from Scratch in Python
28 HoursIBM Cloud Pak for Data
14 HoursH2O AutoML
14 HoursAutoML with Auto-sklearn
14 HoursAutoML with Auto-Keras
14 HoursTensorFlow Lite for Embedded Linux
21 HoursTensorFlow Lite for Android
21 HoursTensorFlow Lite for iOS
21 HoursTensorflow Lite for Microcontrollers
21 HoursDeep Learning with Keras
21 HoursDeep Learning for Self Driving Cars
21 HoursTorch for Machine and Deep Learning
21 HoursDeep Learning for Vision with Caffe
21 HoursMastering Apache SINGA
21 HoursMastering Deeplearning4j
21 HoursNLP with Deeplearning4j
14 HoursApplied AI from Scratch
28 HoursDeep Learning for Vision
21 HoursKubeflow on OpenShift
28 HoursDeep Learning with TensorFlow 2
21 HoursMachine Learning with TensorFlow.js
14 HoursTensorFlow Serving
7 HoursDeep Learning with TensorFlow
21 HoursTensorFlow for Image Recognition
28 HoursTensorFlow Extended (TFX)
21 HoursUnderstanding Deep Neural Networks
35 HoursMicrosoft Bot Framework Composer
14 HoursMicrosoft Bot Framework Fundamentals
14 HoursComputer Vision with OpenCV
28 HoursPattern Matching
14 HoursAdaBoost Python for Machine Learning
14 HoursMachine Learning with Random Forest
14 HoursDataRobot
7 HoursAutoML
14 HoursGoogle Cloud AutoML
7 HoursPattern Recognition
21 HoursMachine Learning with PredictionIO
21 HoursIntroduction to Deep Learning
21 HoursAdvanced Deep Learning
28 HoursDeep Learning for Business
14 HoursDeep Learning for Finance (with R)
28 HoursDeep Learning for Banking (with R)
28 HoursDeep Learning for Medicine
14 HoursDeep Learning for Healthcare
14 HoursMachine Learning and Deep Learning
21 HoursNeural computing – Data science
14 HoursOpenNN: Implementing Neural Networks
14 HoursPaddlePaddle
21 HoursAdvanced Machine Learning with R
21 HoursHardware-Accelerated Video Analytics
14 HoursNLP with Python and TextBlob
14 HoursNatural Language Processing (NLP)
21 HoursOpenAI Gym
7 HoursChatbots for Developers
14 HoursParlAI for Conversational AI
14 HoursReinforcement Learning with Java
21 HoursPractical Quantum Computing
10 HoursScilab
14 HoursComputer Vision with Python
14 HoursComputer Vision with SimpleCV
14 HoursAI Awareness for Telecom
14 HoursFrom Zero to AI
35 HoursAlgebra for Machine Learning
14 HoursAzure Machine Learning (AML)
21 HoursApplied Machine Learning
14 HoursAmazon Web Services (AWS) SageMaker
21 HoursAzure Machine Learning
14 HoursCore ML for iOS App Development
14 HoursDeepMind Lab
14 HoursMachine Learning Algorithms in Julia
21 HoursKubeflow
35 HoursKubeflow Fundamentals
28 HoursMathematica for Machine Learning
14 HoursMachine Learning – Data science
21 HoursMachine Learning and Big Data
7 HoursMachine Learning and AI with ML.NET
21 HoursMLflow
21 HoursIntroduction to Machine Learning
7 HoursMachine Learning on iOS
14 HoursMLOps: CI/CD for Machine Learning
35 HoursMLOps for Azure Machine Learning
14 HoursMachine Learning for Robotics
21 HoursOctave not only for programmers
21 HoursRecommender Systems with Python
14 HoursText Summarization with Python
14 HoursXGBoost for Gradient Boosting
14 HoursPredictive Modelling with R
14 HoursVisual Analytics – Data science
14 HoursBuilding Chatbots in Python
21 HoursNeural Network in R
14 HoursAI in Digital Marketing
7 HoursAI and Robotics for Nuclear - Extended
120 HoursAI and Robotics for Nuclear
80 HoursIntelligent Testing
14 HoursOptaPlanner in Practice
21 HoursLast Updated:
Testimonials (25)
I really appreciated Vincent's enthusiasm, professionalism and knowledge. I was able to do well-guided and illustrated practical exercises, directly applying the AI tool in the context of my professional activity as a communications manager for unions. This was made possible by the interview prior to the 2-day training to determine the training program.
Claude - Internationale de l'Éducation
Course - ChatGPT for Content Creation
Machine Translated
His way of gaining audience
Venkata Narasimha Murthy - 6Point6
Course - ChatGPT for Automation
We had an overview about Machine Learning, Neural Networks, AI with practical examples.
Catalin - DB Global Technology SRL
Course - Machine Learning and Deep Learning
Exercises and exchanges during questions/answers
Antoine - Physiobotic
Course - Scaling Data Pipelines with Spark NLP
Machine Translated
Specific knowledge provided in an accessible way. Answering questions and dispelling doubts
Szymon - Web INnovative Software Sp. z o.o.
Course - ChatGPT (GPT-4) for Developers
Machine Translated
How she could engage with us on all levels
Cheryl - Tuffias Sandberg
Course - ChatGPT for Human Resources
Real life examples.
Craig - Hollard Insure
Course - ChatGPT
examples based on our data
Witold - P4 Sp. z o.o.
Course - Deep Learning for Telecom (with Python)
The quantity of exercises performed. Help from the trainer on each problem encountered during the exercises. He clarifies the process for us without giving the result.
Fabien Follet - Autoliv
Machine Translated
Świetny kontakt z uczestnikami, wiedza praktyczna co bardzo się ceni. Dostosowanie toku / tempa. Duuuży plus, mega pozytywny instruktor, aż szkoda że szkolenie trwało tylko 2 dni.
Marcin Mikielewicz - TECNOBIT SLU
Course - Introduction Deep Learning & Réseaux de neurones pour l’ingénieur
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Course - Introduction to Deep Learning
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
Przyjemna atmosfera, obszerna wiedza trenera, wyczerpujące odpowiedzi na zadawane pytania, nawet takie wychodzące poza tematykę szkolenia.
Mateusz Pilecki - AGH
Course - Deep Learning with TensorFlow 2
Fragmenty pracy własnej gdzie można było poeksperymentować na kodzie, oraz sama forma szkolenia - dzięki przeplataniu wykład/ćwiczenia/interakcje przetrwanie jednak długiego szkolenia było znacznie prostsze i przyjemniejsze
Michał Motyl - AGH
Course - Deep Learning with TensorFlow
The engagement of the instructor
Wayne Jeftha - Vodacom
Course - Microsoft Bot Framework Composer
Poziom szkolenia był na wysokim poziomie. Prowadzący nie bał się używać matematycznych formalizmów.
Mateusz Soczewka - Santander Bank Polska S.A.
Course - Fundamentals of Reinforcement Learning
Tematyka DL nie jest mi obca, udało się poznac kilka optymalizacyjnych smaczków.
Marcin Staśko - LG Energy Solution Wrocław Sp. z o.o.
Course - Understanding Deep Neural Networks
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
Anthea King - WesCEF
Course - Computer Vision with Python
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Course - TensorFlow Extended (TFX)
Quantum computing algorithms and related theoretical background know-how of the trainer is excellent. Especially I'd like to emphasize his ability to detect exactly when I was struggling with the material presented, and he provided time&support for me to really understand the topic - that was great and very beneficial! Virtual setup with Zoom worked out very well, as well as arrangements regarding training sessions and breaks sequences. It was a lot of material/theory to cover in "only" 2 days, wo the trainer had nicely adjusted the amount according to the progress related to my understanding of the topics. Maybe planning 3 days for absolute beginners would be better to cover all the material and content outlined in the agenda. I very much liked the flexibility of the trainer to answer my specific questions to the training topics, even additionally coming back after the breaks with more explanation in case neccessary. Big thank you again for the sessions! Well done!
Giorgi Ediberidze
Course - Quantum Computing with IBM Quantum Experience
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Course - Advanced Deep Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Course - Python for Advanced Machine Learning
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
Course - TensorFlow for Image Recognition
I liked the opportunities to ask questions and get more in depth explanations of the theory.
Sharon Ruane
Course - Neural Networks Fundamentals using TensorFlow as Example
I genuinely enjoyed the hands-on approach.
Kevin De Cuyper
Course - Computer Vision with OpenCV
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