Algorithm Python courses can help you learn sorting algorithms, search algorithms, and data structures like trees and graphs. You can build skills in problem-solving, optimizing code efficiency, and implementing algorithms in real-world applications. Many courses introduce tools such as Jupyter Notebooks and libraries like NumPy and Pandas, that support applying algorithms in data analysis and artificial intelligence projects.

★ 5 (12) · Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning
★ 4.7 (10) · Mixed · Course · 1 - 3 Months
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Responsible AI, AI Security, Data Ethics, AI literacy, Generative AI, Regulatory Compliance, Data Security, Law, Regulation, and Compliance, Artificial Intelligence, Decision Intelligence, Risk Management, Risk Mitigation, Risk Analysis, Algorithms
★ 4.9 (12) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AI Orchestration, Agentic Workflows, AI Integrations, OpenAI API, Token Optimization, Test Script Development, Context Management, Code Reusability, Secure Coding, Memory Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Risking, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Root Cause Analysis, Deep Learning
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning
Intermediate · Specialization · 1 - 3 Months
Skills you'll gain: LangChain, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Prompt Patterns, AI Workflows, System Monitoring, Prompt Engineering, Operational Efficiency, Enterprise Application Management, Code Reusability, Process Optimization, Workflow Management, Embeddings, Maintainability, Application Deployment, Scalability
Intermediate · Course · 1 - 4 Weeks

EC-Council
Skills you'll gain: Penetration Testing, Cybersecurity, Threat Management, Cloud Security, Mobile Security, Vulnerability Assessments, Network Security, Cyber Security Assessment, Application Security, Threat Detection, Security Testing, Cyber Attacks, Brute-force attacks, MITRE ATT&CK Framework, Encryption, Vulnerability Scanning, Cloud Computing, Exploitation techniques, Web Applications, Wireless Networks
Beginner · Course · 1 - 3 Months

Skills you'll gain: Test Planning, Software Testing, Debugging, Test Case, Issue Tracking, Functional Testing, Unit Testing, Software Quality Assurance, System Testing, Test Tools, Acceptance Testing, Software Quality (SQA/SQC), Integration Testing, Test Driven Development (TDD), Test Automation, Regression Testing, Quality Assurance, Waterfall Methodology, Agile Methodology, Python Programming
Beginner · Course · 1 - 4 Weeks

LearnKartS
Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Amazon Web Services, Amazon DynamoDB, Containerization, Amazon Elastic Compute Cloud, AWS CloudFormation, Continuous Integration, Amazon S3, Cloud Applications, Data Security, User Accounts, Load Balancing, Amazon CloudWatch, Security Controls, Encryption, DevOps, AWS Kinesis, Virtual Machines, Virtualization and Virtual Machines
★ 4.7 (10) · Beginner · Specialization · 1 - 3 Months
CertNexus
Skills you'll gain: Data Preprocessing, Data Analysis, Model Training, Data Collection, AI Workflows, MLOps (Machine Learning Operations), Statistical Analysis, Model Deployment, Data Processing, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Machine Learning Algorithms, Process Management
★ 4.7 (23) · Intermediate · Course · 1 - 3 Months