{"id":221,"date":"2020-01-26T14:07:22","date_gmt":"2020-01-26T13:07:22","guid":{"rendered":"https:\/\/softwaredev.de\/?page_id=221"},"modified":"2025-08-01T06:30:07","modified_gmt":"2025-08-01T04:30:07","slug":"zertifikate","status":"publish","type":"page","link":"https:\/\/softwaredev.de\/index.php\/zertifikate\/","title":{"rendered":"Zertifikate"},"content":{"rendered":"\n
\"\"<\/a><\/td>Agentic AI<\/strong>
Prompting f\u00fcr effektives LLM Reasoning und Planung, Agentische Arbeitsabl\u00e4ufe, Aufbau von Agenten, Multi-Agenten-Systeme<\/em>
https:\/\/github.com\/tobiassteidle\/AgenticAI_ND_P4_Beaver-s-Choice-Paper-Company<\/a>
https:\/\/github.com\/tobiassteidle\/AgenticAI_ND_P3_AI-Research-Assistant-for-Video-Game-Industry<\/a>
https:\/\/github.com\/tobiassteidle\/AgenticAI_ND_P2_Agentic-Workflow-for-Project-Management<\/a>
<\/a>https:\/\/github.com\/tobiassteidle\/AgenticAI_ND_P1_AgentsVille-Trip-Planer<\/a><\/td><\/tr>
\"\"<\/a><\/td>Spezialisierung<\/strong>: Mathematics for Machine Learning and Data Science<\/strong>
DeepLearning.AI<\/td><\/tr>
\"\"<\/a><\/td>Probability & Statistics for Machine Learning & Data Science<\/strong>
DeepLearning.AI
Erreichte Bewertung: 99.33 %<\/td><\/tr>
\"\"<\/a><\/td>Calculus for Machine Learning and Data Science<\/strong>
DeepLearning.AI
Erreichte Bewertung: 98.81 %<\/td><\/tr>
\"\"<\/a><\/td>Linear Algebra for Machine Learning and Data Science<\/strong>
DeepLearning.AI
Erreichte Bewertung: 100 %<\/td><\/tr>
\"\"<\/a><\/td>Generative AI with Large Language Models<\/strong>
DeepLearning.AI
Erreichte Bewertung: 100 %<\/td><\/tr>
\"\"<\/a><\/td>Spezialisierung<\/strong>: Machine Learning Engineering for Production (MLOps)<\/strong>
DeepLearning.AI<\/td><\/tr>
\"\"<\/a><\/td>Deploying Machine Learning Models in Production<\/strong>
DeepLearning.AI
Erreichte Bewertung: 99.75 %<\/td><\/tr>
\"\"<\/a><\/td>Machine Learning Modeling Pipelines in Production<\/strong>
DeepLearning.AI
Erreichte Bewertung: 100 %<\/td><\/tr>
\"\"<\/a><\/td>Machine Learning Data Lifecycle in Production<\/strong>
DeepLearning.AI
Erreichte Bewertung: 100 %<\/td><\/tr>
\"\"<\/a><\/td>Introduction to Machine Learning in Production<\/strong>
DeepLearning.AI
Erreichte Bewertung: 100 %<\/td><\/tr>
\"\"<\/a>

\"\"<\/a><\/td>		Spezialisierung<\/strong>: Deep Learning<\/strong>
DeepLearning.AI<\/td><\/tr>
\"\"<\/a><\/td>Sequence Models<\/strong>
DeepLearning.AI
Erreichte Bewertung: 98 %<\/td><\/tr>
\"\"<\/a><\/td>Convolutional Neural Networks<\/strong>
DeepLearning.AI
Erreichte Bewertung: 98.50 %<\/td><\/tr>
\"\"<\/a><\/td>Structuring Machine Learning Projects<\/strong>
DeepLearning.AI
Erreichte Bewertung: 83.33 %<\/td><\/tr>
\"\"<\/a><\/td>Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization<\/strong>
DeepLearning.AI
Erreichte Bewertung: 97.33%<\/td><\/tr>
\"\"<\/a><\/td>Neural Networks and Deep Learning<\/strong>
DeepLearning.AI
Erreichte Bewertung: 94.60 %<\/td><\/tr>
<\/td><\/td><\/tr>
\"\"<\/a><\/td>Self-Driving Car Engineer<\/strong>
Computer Vision und Deep Learning, Erkennung von Fahrbahnlinien. Vorhersage von Lenkwinkeln und mehr. Sensorfusion. Programmierung eines selbstfahrenden Autos mit ROS (Robot Operating System) im Team. <\/em>
https:\/\/github.com\/tobiassteidle\/CarND-Capstone<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-Vehicle-Detection<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-Behavioral-Cloning<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-Advanced-Lane-Lines<\/a>
https:\/\/github.com\/tobiassteidle\/Traffic-light-classifier<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-Semantic-Segmentation<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-Path-Planning-Project<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-MPC-Project<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-PID-Control-Project<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-Kidnapped-Vehicle-Project<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-Unscented-Kalman-Filter-Project<\/a>
https:\/\/github.com\/tobiassteidle\/CarND-Extended-Kalman-Filter-Project<\/a> <\/td><\/tr>
<\/td>
<\/td><\/tr>
\"\"<\/a><\/td>Machine Learning Engineer<\/strong>
Supervised und Unsupervised Learning. Neuronale Netze – Convolutional neural Networks, Recurrent neural Networks, Deep neural Networks. <\/em>
https:\/\/github.com\/tobiassteidle\/MLND_Capstone<\/a>
https:\/\/github.com\/tobiassteidle\/MLND_Quadcopter<\/a>
https:\/\/github.com\/tobiassteidle\/MLND_Dog-Breed-Classifier<\/a>
https:\/\/github.com\/tobiassteidle\/MLND_Customer_segments<\/a>
https:\/\/github.com\/tobiassteidle\/MLND_CharityML<\/a>
https:\/\/github.com\/tobiassteidle\/MLND_Predict-Boston-House-Pricing<\/a><\/td><\/tr>
<\/td>
<\/td><\/tr>
\"\"<\/a><\/td>Deep Reinforcement Learning<\/strong>
Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients (DDPG). Trainieren von Agenten f\u00fcr komplexe Aufgaben wie laufen, fahren, etc.<\/em>
https:\/\/github.com\/tobiassteidle\/DRLND_P3_Collaboration-and-Competition<\/a>
https:\/\/github.com\/tobiassteidle\/DRLND_P2_Continuous-Control<\/a>
https:\/\/github.com\/tobiassteidle\/DRLND_P1_Navigation<\/a><\/td><\/tr>
<\/td>
<\/td><\/tr>
\"\"<\/a><\/td>Computer Vision<\/strong>
Von der grundlegenden Bildverarbeitung bis hin zum Aufbau und zur Anpassung konvolution\u00e4rer neuronaler Netze. Bildverarbeitungsaufgaben wie Image Captioning und Objektverfolgung.
<\/em>https:\/\/github.com\/tobiassteidle\/CVND_P3_Implement_SLAM<\/a>
https:\/\/github.com\/tobiassteidle\/CVND_P2_Image_Captioning<\/a>
https:\/\/github.com\/tobiassteidle\/CVND_P1_Facial_Keypoints<\/a><\/td><\/tr>
<\/td>
<\/td><\/tr>
\"\"<\/a><\/td>Natural Language Processing<\/strong>
Techniken der nat\u00fcrlichen Sprachverarbeitung, um Sprache zu verarbeiten und Text zu analysieren. Probabilistische und tiefgehende Lernmodelle, wie z.B. verborgene Markov-Modelle und rekurrente neuronale Netze, um dem Computer beizubringen, Aufgaben wie Spracherkennung, maschinelle \u00dcbersetzung usw. zu bew\u00e4ltigen.<\/em>
https:\/\/github.com\/tobiassteidle\/NLPND_P3_DNN-Speech-Recognizer<\/a>
https:\/\/github.com\/tobiassteidle\/NLPND_P2_Machine-Translation<\/a>
https:\/\/github.com\/tobiassteidle\/NLPND_P1_HMM-Tagger<\/a><\/td><\/tr>
<\/td>
<\/td><\/tr>
\"\"<\/a><\/td>Robotic Software Engineer<\/strong>
Entwicklung von Software zur Steuerung von Robotern auf Basis von ROS (Robot Operating System). Techniken zur Lokalisierung und Kartographierung (SLAM). Navigation und Wegplanung.<\/em>
https:\/\/github.com\/tobiassteidle\/RoboND_P1_Build-My-World<\/a>
https:\/\/github.com\/tobiassteidle\/RoboND_P2_Go-Chase-It<\/a>
https:\/\/github.com\/tobiassteidle\/RoboND_P3_Where-Am-I<\/a>
https:\/\/github.com\/tobiassteidle\/RoboND_P4_Map-My-World<\/a>
https:\/\/github.com\/tobiassteidle\/RoboND_P5_Home-Service-Robot<\/a>
https:\/\/github.com\/tobiassteidle\/RoboND-SLAM<\/a><\/td><\/tr>
<\/td>
<\/td><\/tr>
\"\"<\/a><\/td>Blockchain Developer<\/strong>
Grundlagen der Blockchain-Plattform. Erstellen einer eigenen private Blockchain und sichern Sie ein digitales Asset mit der Blockchain-Identit\u00e4t. Entwicklung von Smart Contracts auf Basis der Ethereum-Plattform mit Solidity. Entwicklung dezentraler Anwendungen DApp.<\/em>
https:\/\/github.com\/tobiassteidle\/BDND_Capstone<\/a>
https:\/\/github.com\/tobiassteidle\/BDND_Flightsurety<\/a>
https:\/\/github.com\/tobiassteidle\/BDND_Blockchain-Supply-Chain<\/a>
https:\/\/github.com\/tobiassteidle\/BDND_P5_Decentralized-Star-Notary-Service<\/a>
https:\/\/github.com\/tobiassteidle\/BDND_P4_Private-Blockchain-Notary-Service<\/a>
https:\/\/github.com\/tobiassteidle\/BDND_P3_RESTful-Web-API<\/a>
https:\/\/github.com\/tobiassteidle\/BDND_P2_Private-Blockchain<\/a>
https:\/\/github.com\/tobiassteidle\/BDND_Exercises<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n\n\n

<\/h2>\n","protected":false},"excerpt":{"rendered":"

Agentic AIPrompting f\u00fcr effektives LLM Reasoning und Planung, Agentische Arbeitsabl\u00e4ufe, Aufbau von Agenten, Multi-Agenten-Systemehttps:\/\/github.com\/tobiassteidle\/AgenticAI_ND_P4_Beaver-s-Choice-Paper-Companyhttps:\/\/github.com\/tobiassteidle\/AgenticAI_ND_P3_AI-Research-Assistant-for-Video-Game-Industryhttps:\/\/github.com\/tobiassteidle\/AgenticAI_ND_P2_Agentic-Workflow-for-Project-Managementhttps:\/\/github.com\/tobiassteidle\/AgenticAI_ND_P1_AgentsVille-Trip-Planer Spezialisierung: Mathematics for Machine Learning and Data ScienceDeepLearning.AI Probability & Statistics for Machine Learning & Data ScienceDeepLearning.AIErreichte Bewertung: 99.33 % Calculus for Machine Learning and Data ScienceDeepLearning.AIErreichte Bewertung: 98.81 % Linear Algebra for Machine Learning and Data ScienceDeepLearning.AIErreichte Bewertung: 100 % […]<\/p>\n

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