Algorithmic Thinking Courses
Algorithmic Thinking courses can help you learn problem-solving techniques, data structures, algorithm design, and complexity analysis. You can build skills in logical reasoning, optimization strategies, and analyzing algorithm efficiency. Many courses introduce tools like Python and R for implementing algorithms, along with frameworks for analyzing data sets and solving computational problems.
Popular Algorithmic Thinking Courses and Certifications
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning
Status: Free TrialSkills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Network Architecture, Performance Tuning, Matplotlib, Jupyter, NumPy
Status: PreviewKoç University
Skills you'll gain: Calculus, Integral Calculus, Computational Thinking, Advanced Mathematics, Derivatives, Numerical Analysis, Mathematical Theory & Analysis, Applied Mathematics
Status: Free TrialSkills you'll gain: Competitive Analysis, Business Development, Data-Driven Decision-Making, Generative AI, Market Opportunities, Market Analysis, Market Research, Trend Analysis, Strategic Thinking, Growth Strategies, Market Trend, Business Intelligence, Business Strategy, Sustainable Business, Marketing Strategies, Artificial Intelligence, Predictive Analytics, Forecasting, Strategic Planning
Status: PreviewUniversity of Virginia
Skills you'll gain: Business Strategy, Competitive Analysis, Strategic Thinking, Business Planning, Market Analysis, Organizational Strategy, Strategic Decision-Making, Market Dynamics, Value Propositions, Communication
Status: PreviewGoogle Cloud
Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Generative Model Architectures, Computer Vision, Applied Machine Learning
Status: PreviewGoogle Cloud
Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Deep Learning
Status: NewStatus: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning
Status: PreviewNortheastern University
Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability
Status: NewStatus: Free TrialSkills you'll gain: Large Language Modeling, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, Deep Learning, Application Deployment, Reinforcement Learning, Image Analysis, Performance Tuning, Computer Vision
Status: NewStatus: PreviewSkills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Status: PreviewGoogle Cloud
Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Natural Language Processing, Deep Learning
Searches related to algorithmic thinking
In summary, here are 10 of our most popular algorithmic thinking courses
- Programming Generative AI: Unit 2:Â Pearson
- Advanced Generative Adversarial Networks (GANs):Â Packt
- KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS: Koç University
- GenAI for Biz Dev: Identifying Growth Opportunities:Â Coursera
- Grundlagen der Geschäftsstrategie: University of Virginia
- Create Image Captioning Models - Français: Google Cloud
- Transformer Models and BERT Model - 日本語版: Google Cloud
- Introduction to Transformer Models for NLP: Unit 1:Â Pearson
- NLP in Engineering: Concepts & Real-World Applications:Â Northeastern University
- Quick Start Guide to Large Language Models (LLMs): Unit 3:Â Pearson
