C programming courses can help you learn syntax, data structures, algorithms, and memory management. You can build skills in debugging, optimizing code, and implementing efficient algorithms. Many courses introduce tools like GCC for compiling code, GDB for debugging, and libraries such as the Standard Template Library (STL) to enhance functionality. You'll also explore concepts like pointers, file handling, and dynamic memory allocation, which are crucial for developing robust applications.

University of Colorado Boulder
Skills you'll gain: Power Electronics, Control Systems, Electronic Systems, Electrical Engineering, Electrical Power, Electronics, Engineering Analysis, Electrical Systems, Simulation and Simulation Software, Hardware Design, Matlab, Network Analysis
★ 4.7 (31) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Role-Based Access Control (RBAC), Postman API Platform, Authentications, Spring Framework, API Testing, Authorization (Computing), Restful API, Identity and Access Management, Secure Coding, Java Programming, Application Design, Spring Boot, User Accounts, Application Programming Interface (API), API Design, Web Applications
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: Rust (Programming Language), Containerization, Other Programming Languages, Go (Programming Language), Application Deployment, Docker (Software), Embedded Systems, C and C++, Cross Platform Development, Performance Tuning, Interoperability, Memory Management, Command-Line Interface, Software Engineering, Data Engineering
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Debugging, Computer Programming Tools, Digital pedagogy, Program Development, Computational Logic, Education Software and Technology, Computational Thinking, Programming Principles, Computer Programming, Game Design
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Cleansing, Database Design, Data Integration, Data Import/Export, SQL, Data Maintenance, Data Manipulation, Data Wrangling, Database Development, Database Management, Relational Databases, Data Quality, Data Integrity, Query Languages, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation
★ 4.8 (9) · Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: SQL, Data Store, Database Management, Database Design, Databases, Relational Databases, Database Software, Web Scraping, Data Modeling, Data Visualization Software, Object Oriented Programming (OOP), Data Processing, Geospatial Mapping, Data Manipulation, Python Programming, Data Collection
Mixed · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Tool Calling, AI Workflows, Context Management, Generative AI Agents, Vector Databases, Data Store, Agentic systems, Memory Management
★ 3.9 (8) · Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Data Integration, R (Software), R Programming, Exploratory Data Analysis, Statistical Programming
★ 5 (15) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation
Intermediate · Course · 3 - 6 Months

Coursera
Skills you'll gain: Model Optimization, Regression Analysis, Model Training, Statistical Modeling, Predictive Modeling, Fine-tuning, Scientific Visualization, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Processing, Exploratory Data Analysis, Python Programming, Machine Learning, Development Environment
★ 4.5 (14) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, AI Personalization, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Statistical Methods, Machine Learning, Applied Machine Learning, Digital Signal Processing, Statistical Inference
★ 3.8 (8) · Intermediate · Specialization · 3 - 6 Months