| Python 1 : Beginning Python | O'Reilly School of Technology | N/A |
| Python 2 : Getting More Cut of Python | O'Reilly School of Technology | N/A |
| Python 3 : The Python Environment | O'Reilly School of Technology | N/A |
| Neural Networks for Machine Learning | University of Toronto | coursera.org/verify/CX4FUJJF9LDV |
| Neural Networks and Deep Learning | deeplearning.ai | coursera.org/verify/G2QWQEQCJYJR |
| Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | deeplearning.ai | coursera.org/verify/E8NVJEDTT3SJ |
| Structuring Machine Learning Projects | deeplearning.ai | coursera.org/verify/E8NVJEDTT3SJ |
| Convolutional Neural Networks | deeplearning.ai | coursera.org/verify/D3EC2YM9ZZCG |
| Deep Learning | deeplearning.ai | coursera.org/verify/specialization/KXNTMW3TP8D5 |
| Mathematics for Machine Learning: Linear Algebra | Imperial College London | coursera.org/verify/P3Z7BE44RD54 |
| Mathematics for Machine Learning: Multivariate Calculus | Imperial College London | coursera.org/verify/JVWXTYWPPQHF |
| Mathematics for Machine Learning: PCA | Imperial College London | coursera.org/verify/BU7WQNLW7UWV |
| System Validation: Automata and behavioural equivalences | eitDigital | coursera.org/verify/5D3XYJX8J86F |
| Cryptography: Boolean functions and related problems | Novosibirsk State University | coursera.org/verify/CCWXYR638H42 |
| eLearnSecurity Certified eXploit Developer(eCXD) | INE: eLearnSecurity | Certification ID: 2534668 |
| Cyberthreats by Malware | openHPI | open.hpi.de/verify/xesav-pifim-sived-zedek-fugog |
| eLearnSecurity Network Defense Professional(eNDP) | INE: eLearnSecurity | Certification ID: 2321200 |
| Automated Reasoning: satisfiability | eitDigital | coursera.org/verify/P33HKKPWMG2L |
| Automated Reasoning: Symbolic Model Checking | eitDigital | coursera.org/verify/8GYAJS2QKUNK |
| Blockchain - Revealing the Myth | openHPI | open.hpi.de/verify/xicab-fymup-vasih-pipyt-bazav |
| Blockchain Scalability and its Foundations in Distributed Systems | University of Sydney | coursera.org/verify/8QPZ3HR9NUAF |
| Classical Cryptosystems and Core Concepts | University of Colorado | coursera.org/verify/TC3MV9HU2SZB |
| Mathematical Foundations for Cryptography | University of Colorado | coursera.org/verify/RZLN7X2GG8C8 |
| Symmetric Cryptography | University of Colorado | coursera.org/verify/67L6FVM6BFM5 |
| Asymmetric Cryptography and Key Management | University of Colorado | coursera.org/verify/YZ434ZXKDXNS |
| Machine learning in python with scikit-learn | Inria(France Université Numérique - FUN) | N/A |
| Computation in Complex Systems | Santa Fe Institute | complexityexplorer.org/courses/122-computation-in-complex-systems/certificates/1786249218 |
| Basics of thermodynamics | Novosibirsk State University | coursera.org/verify/J5HJANKFMH27 |
| Bayesian Statistics: From Concept to Data Analysis | UC Santa Cruz | coursera.org/verify/AHEPJE2HXSBD |
| Getting started with TensorFlow 2 | Imperial College London | coursera.org/verify/3QFLXCDA85KU |
| Custom Models, Layers, and Loss Functions with TensorFlow | deeplearning.ai | coursera.org/verify/Q67FPTTMHPMH |
| Introduction to Applied Machine Learning | Alberta Machine Intelligence Institute(amii) | coursera.org/verify/MB49SND47BJE |
| Customizing your models with TensorFlow 2 | Imperial College London | coursera.org/verify/4NPHRV28DHAU |
| Practical Python for AI Coding 2 | Korea Advanced Institute of Science and Technology(KAIST) | coursera.org/verify/TXPXKL2EPUM3 |
| Machine Learning Algorithms: Supervised Learning Tip to Tail | Alberta Machine Intelligence Institute(amii) | coursera.org/verify/ACCR3BRCQPQJ |
| Getting Started with AWS Machine Learning | AWS | coursera.org/verify/TDD5PMHXDGG7 |
| Cyber Security Fundamentals | University of London | coursera.org/verify/K73XBAVKEQRH |
| Real-Time Cyber Threat Detection and Mitigation | NYU | coursera.org/verify/QZQUS9XJCA5W |
| Enterprise and Infrastructure Security | NYU | coursera.org/verify/MN3QKWUZ5AM2 |
| Introduction to Applied Cryptography | University of London | coursera.org/verify/EXPCQ6LCKNJN |
| JavaScript Security Refreshers | Infosec | coursera.org/verify/MQMQZ5ZS7G9V |
| JavaScript Security Part 1 | Infosec | coursera.org/verify/PS6SCHEXYRB7 |
| JavaScript Security Part 2 | Infosec | coursera.org/verify/JFUHVQYJNS99 |
| JavaScript Security Part 3 | Infosec | coursera.org/verify/FA28VKRLNFB6 |
| Network Security & Database Vulnerabilities | IBM | coursera.org/verify/M7FJCXBFBRZS |
| Network Defense Essentials (NDE) | EC-Council | coursera.org/verify/KACUWRMBCR5X |
| Ethical Hacking Essentials (EHE) | EC-Council | coursera.org/verify/DTJY3JYKW3V7 |
| Digital Forensics Essentials (DFE) | EC-Council | coursera.org/verify/FXHRX3LCXCFY |
| Introduction Badge | PentesterLab | pentesterlab.com/badges/introduction |
| Unix Badge | PentesterLab | pentesterlab.com/badges/unix |
| MITRE ATT&CK DefenderTM (MAD) ATT&CK® Fundamentals Badge Training | Cybrary | CC-d083776d-2386-4a44-bc05-c4ae33830201 |
| Recon Badge | PentesterLab | pentesterlab.com/badges/recon |
| White Badge | PentesterLab | pentesterlab.com/badges/whitebadge |
| Serialize Badge | PentesterLab | pentesterlab.com/badges/serialize |
| HTTP Badge | PentesterLab | pentesterlab.com/badges/http |
| PCAP Badge | PentesterLab | pentesterlab.com/badges/pcap |
| Essential Badge | PentesterLab | pentesterlab.com/badges/essential |
| eLearnSecurity Certified Professional Penetration Tester(eCPPT) | INE: eLearnSecurity | Certification ID: 5495514 |
| Intercept Badge | PentesterLab | pentesterlab.com/badges/intercept |
| Android Badge | PentesterLab | pentesterlab.com/badges/android |
| Efficient Machine Learning with Support Vector Machines | EC-Council | codered.eccouncil.org/certificate/5d303da3-133a-42d7-a19e-e68c45ba1972 |
| AI for Finance - Part 1 | EC-Council | codered.eccouncil.org/certificate/78f7145a-60e4-499e-9b3e-5a8f472ba5ed |
| Pattern Recognition in Python | EC-Council | codered.eccouncil.org/certificate/7601d3d2-7362-4c9b-bdf6-5b3076c48a41 |
| AI for Finance - Part 2 | EC-Council | codered.eccouncil.org/certificate/a080d4b7-3a24-43a1-a0d9-27aeeb3082cd |
| AI for Finance - Part 3 | EC-Council | codered.eccouncil.org/certificate/e035d097-93c8-4848-93dd-6b867519fec5 |
| Computational Mathematics for Data Science | EC-Council | codered.eccouncil.org/certificate/4d423324-f12c-401c-9b9c-2a7d0a401bd6 |
| An Introduction to Scikit-Learn | EC-Council | codered.eccouncil.org/certificate/a5610100-5339-4421-9fb5-fb17e3535bc4 |
| Applied Unsupervised Deep Learning | EC-Council | codered.eccouncil.org/certificate/f2238b19-2629-4a19-844c-cc4829026b4c |
| Hardware Security | Coursera | coursera.org/verify/RDM2KGAQ9D3F |
| Blockchain Security | Coursera | coursera.org/verify/F74H8PGP3693 |
| Blockchain : enjeux et mécanismes cryptographiques | Coursera | coursera.org/verify/3SS65A5NGYTC |
| Fundamentals of Blockchain Architecture | Coursera | coursera.org/verify/K2FKKMNVWP36 |
| Blockchain Architecture - Intermediate Concepts | Coursera | coursera.org/verify/YAFBC6KBDFWV |
| Advanced Blockchain Architectures | Coursera | coursera.org/verify/GT44TXT5VL3L |
| Blockchain Solution Architecture | Coursera | coursera.org/verify/specialization/ZJHL6GPB594T |
| Rust Fundamentals | Coursera | coursera.org/verify/K3FM6X3F8F9K |
| SCS1: Side-Channel Security: Developing a Side-Channel Mindset | EdX | courses.edx.org/certificates/5531c2fbcbba47b1956085d2d0828a11 |
| NFT for Beginners | EC-Council | codered.eccouncil.org/certificate/28862780-d5e2-4847-8d50-e2b711b5bc01 |
| Web 3.0 DApps & Smart Contract for Pentesting & Bug Bounties | EC-Council | codered.eccouncil.org/certificate/35a9d03c-361e-491c-9df8-eebd6edb5213 |
| Blockchain Security Advanced Protection | Coursera | coursera.org/verify/6ZP7BBASV3MD |
| Technologies and platforms for Artificial Intelligence | Coursera | coursera.org/verify/QB0VB4SK38T7 |
| Practical Methodology and Ethics in AI | Coursera | coursera.org/verify/TFXB4Q2MQ8GA |
| Machine Learning: an overview | Coursera | coursera.org/verify/UKF9A25DHUK8 |
| Ethics of Artificial Intelligence | Coursera | coursera.org/verify/UK65UAIS6A99 |
| Build a Static Website with Rust and Zola | Coursera Project | coursera.org/verify/NGO1X5A2XKPJ |
| Artificial Intelligence: An Overview | Coursera | coursera.org/verify/Z3Q6R65USW23 |
| Artificial Intelligence and legal issues | Coursera | coursera.org/verify/ILO9W6DTCYA6 |
| Advanced Neural Network Techniques | Coursera | coursera.org/verify/W0J2ZU4I6PSM |
| AI for Mechanical Engineers | Coursera | coursera.org/verify/specialization/46FGXLRF15LG |
| AI for Energy and Biomedical Applications | Coursera | coursera.org/verify/ACUM406LK1J7 |
| AI for Design and Optimization | Coursera | coursera.org/verify/I41DRZX5T7LT |
| AI for Autonomous Vehicles and Robotics | Coursera | coursera.org/verify/C03DJRITJGWR |
| Explainable Machine Learning (XAI) | Coursera | coursera.org/verify/DSYYK55NLHAQ |
| Developing Explainable AI (XAI) | Coursera | coursera.org/verify/PF1BV1QN9FT0 |
| Interpretable Machine Learning | Coursera | coursera.org/verify/9229F1HJX6G1 |
| Explainable AI (XAI) | Coursera | coursera.org/verify/specialization/2647RCM1JV05 |
| Computational Neuroscience | Coursera | coursera.org/verify/UH58WVB65NQX |
| Developing AI Policy | Coursera | coursera.org/verify/RQ5TKRMT9RTI |
| Basic Pytorch Tensor Manipulation for Machine Learning | educative.io | educative.io/verify-certificate/g78zQW5O1q9swWWNrmkpQmcywB77zwWL3Tk |
| Deep Learning: Recurrent Neural Networks with TensorFlow | Coursera | coursera.org/verify/KVNHZGNUJZPW |
| Introduction to RNN and DNN | Coursera | coursera.org/verify/B4PTVLKFHR7Y |
| Principal Component Analysis with NumPy | Coursera Project | coursera.org/verify/OUPYT6MIE8VQ |
| Fundamental Neuroscience for Neuroimaging | Coursera | coursera.org/verify/WT8X8YOULSSC |
| Deep Learning Frameworks and Neural Networks Simplified | Coursera | coursera.org/verify/KI7479SC91AU |
| AI & Deep Learning Concepts and Applications | Coursera | coursera.org/verify/EYG92RH2XG3G |
| Encoder-Decoder Architecture | Coursera | coursera.org/verify/1T7DMR1S3JT9 |
| Transformer Models and BERT Model | Coursera | coursera.org/verify/WJ4CCYVPWITN |
| Interpretable Machine Learning Applications: Part 2 | Coursera Project | coursera.org/verify/WU2LMRUIPKXH |
| Transfer Learning for NLP with TensorFlow Hub | Coursera Project | coursera.org/verify/MKO96TP2ZJLH |
| Interpretable Machine Learning Applications: Part 1 | Coursera Project | coursera.org/verify/EM8JKJ2YIECF |
| Support Vector Machines in Python, From Start to Finish | Coursera Project | coursera.org/verify/UIZ6VS1C03JE |
| ML Parameters Optimization: GridSearch, Bayesian, Random | Coursera Project | coursera.org/verify/CR9WN1JU89BZ |
| Generative AI | Coursera | coursera.org/verify/P2RZ7AXOKMH6 |
| Tweet Emotion Recognition with TensorFlow | Coursera Project | coursera.org/verify/363WO0KKM3UR |
| Deep Learning: Convolutional Neural Networks with TensorFlow | Coursera | coursera.org/verify/RNUOULZRNKUM |
| Sentiment Analysis with Deep Learning using BERT | Coursera Project | coursera.org/verify/ILPXX5N33Z1J |
| Fine Tune BERT for Text Classification with TensorFlow | Coursera Project | coursera.org/verify/NGI0CND7BHHO |
| Hyperparameter Tuning with Keras Tuner | Coursera Project | coursera.org/verify/6DQBRGIPTXFR |
| Creating Multi Task Models With Keras | Coursera Project | coursera.org/verify/TWWVIJ2JMEEH |
| ExplainableAI : Scene Classification & GradCam Visualization | Coursera Project | coursera.org/verify/V2X6BYJ767WY |
| Deep Learning with PyTorch : Siamese Network | Coursera Project | coursera.org/verify/DEEUVG147J50 |
| Deep Learning: Artificial Neural Networks with TensorFlow | Coursera | coursera.org/verify/BR4IQK9J6SY0 |
| Introduction to Generative AI for Software Development | Coursera | coursera.org/verify/LNI53A0FRMAQ |
| Beginning Llamafile for Local Large Language Models (LLMs) | Coursera | coursera.org/verify/TQBAKJG37OP7 |
| Selecting the Right LLM with Hugging Face | Coursera Instructor Network | coursera.org/verify/S9UB4D4OFHPQ |
| Introduction to Retrieval Augmented Generation (RAG) | Coursera Instructor Network | coursera.org/verify/PRD9JXSYTQX8 |
| Introduction to Retrieval Augmented Generation (RAG) | Coursera | coursera.org/verify/N3A7KFZ2EKL9 |
| Diabetes Disease Detection with XG-Boost and Neural Networks | Coursera Project | coursera.org/verify/IT3ZX5GX16ZA |
| Pneumonia Classification using PyTorch | Coursera Project | coursera.org/verify/00Y84WMA2JNS |
| Facial Expression Recognition with PyTorch | Coursera Project | coursera.org/verify/6WF4B8E7HO5O |
| Deep Learning with PyTorch : Generative Adversarial Network | Coursera Project | coursera.org/verify/VXZL7Z1XAQYJ |
| Data Balancing with Gen AI: Credit Card Fraud Detection | Coursera Project | coursera.org/verify/5JY7VHGG5C20 |
| Detecting COVID-19 with Chest X-Ray using PyTorch | Coursera Project | coursera.org/verify/DNQ8X5NDQO0U |
| Data Visualization with Plotly Express | Coursera Project | coursera.org/verify/7GOBWZVS5JB9 |
| Visualizing Filters of a CNN using TensorFlow | Coursera Project | coursera.org/verify/VFMOTT879TDT |
| Deep-Dive into TensorFlow Activation Functions | Coursera Project | coursera.org/verify/Z4SXUYNKYM1B |
| Scikit-Learn For Machine Learning Classification Problems | Coursera Project | coursera.org/verify/R9YVT94SHB4O |
| Scikit-Learn to Solve Regression Machine Learning Problems | Coursera Project | coursera.org/verify/VCV3JGYGGWP3 |
| Machine Learning for Kyphosis Disease Classification | Coursera Project | coursera.org/verify/PDCUUHZ6KQOO |
| Cervical Cancer Risk Prediction Using Machine Learning | Coursera Project | coursera.org/verify/EOU01JMEK0WV |
| Data Visualization & Storytelling in Python | Coursera Project | coursera.org/verify/MWF9IYE6J083 |
| Build a Machine Learning Web App with Streamlit and Python | Coursera Project | coursera.org/verify/I8KZAIOGFZ54 |
| Breast Cancer Prediction Using Machine Learning | Coursera Project | coursera.org/verify/1NZYMIMBWA6S |
| Classify Radio Signals with PyTorch | Coursera Project | coursera.org/verify/MSTHMZE9YKO5 |
| Deep Learning with PyTorch : Object Localization | Coursera Project | coursera.org/verify/5MIR72L6FF3F |
| Deep Learning with PyTorch : Image Segmentation | Coursera Project | coursera.org/verify/WL38Y7QF7P3E |
| Basic Image Classification with TensorFlow | Coursera Project | coursera.org/verify/MJ6AHHJGSKEQ |
| Aerial Image Segmentation with PyTorch | Coursera Project | coursera.org/verify/2DOIJEMCSU2B |
| Object Localization with TensorFlow | Coursera Project | coursera.org/verify/XKT1K4ZD305L |
| Classification Trees in Python, From Start To Finish | Coursera Project | coursera.org/verify/OD0OI691X3VS |
| Generative Pre-trained Transformers (GPT) | Coursera | coursera.org/verify/GI1QVIM3UFC3 |
| Researcher's guide to omic fundamentals | Coursera | coursera.org/verify/AXT24RHM2CN5 |
| Build Basic Generative Adversarial Networks (GANs) | Coursera | coursera.org/verify/BH143SFGKLJW |