Biomedical Engineering Courses

MathWorks

AI for Engineering: An Overview

Explore how AI enhances engineering workflows—from simulation and virtual sensors to predictive maintenance and digital twins—while applying responsible AI principles like explainability and observability.

• Coursera
• 1 hour 11 minutes
• Self-Paced
• Paid Course

Packt

AI Engineering and Deployment

Master TensorFlow, CNNs, RNNs, and AI agent frameworks like AutoGPT to build, deploy, and scale ML models with ethical considerations for real-world applications.

• Coursera
• 8 hours 58 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

AI-Powered Analytics and Performance Engineering

Master building AI-powered analytics pipelines on AWS using Amazon Bedrock, Lambda benchmarking, and Amazon Q for BI, including Rust integration, cost optimization, and natural language SQL queries.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Packt

AI-Powered DevOps and Data Engineering on AWS

Master AI-powered development with Amazon Q Developer, automating tasks, generating code, scanning security vulnerabilities, and streamlining DevOps and data engineering workflows on AWS.

• Coursera
• 3 hours
• Self-Paced
• Paid Course

Advanced Techniques and Applications in Prompt Engineering

Master advanced prompt engineering techniques for AI models like GPT, DALL-E, and BERT, covering A/B testing, multilingual design, bias reduction, and ethical considerations for real-world applications.

• Coursera
• 12 weeks, 1 hour a week
• Self-Paced
• Paid Course

Board Infinity

Agent Foundations and Prompt Engineering

Master the design and deployment of AI agents using LLMs, advanced prompt engineering techniques, and automated workflows for research, summarization, and decision-making tasks.

• Coursera
• 21 hours 5 minutes
• Self-Paced
• Paid Course

Coursera

Advancing Your Career in AI and Machine Learning Engineering

Unlock strategies to advance your AI and ML engineering career, from building a portfolio and resume to navigating interviews and exploring roles in MLOps, AI systems, and applied machine learning.

• Coursera
• 14 minutes
• Self-Paced
• Paid Course

Coursera

Advancing Your Career in Computer Vision Engineering

Unlock career opportunities in computer vision by translating technical skills into portfolio artifacts, resume achievements, and confident interview communication for early-career AI engineers.

• Coursera
• 33 minutes
• Self-Paced
• Paid Course

Edureka

Applied Analytics Engineering and Visualization with dbt

Master practical analytics engineering with dbt - refactor models, optimize performance, implement data quality tests, and create executive dashboards for data-driven insights.

• Coursera
• 9 hours 26 minutes
• Self-Paced
• Paid Course

LearnKartS

Applied Generative AI & Prompt Engineering Mastery

Master Generative AI fundamentals, LLMs, ethics, and 13+ prompt engineering techniques to get reliable AI outputs across writing, coding, research, and business tasks.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Analyze and Defend Against GenAI Social Engineering Attacks

Discover how to identify and defend against AI-powered social engineering attacks including deepfakes, phishing, and disinformation campaigns targeting human psychology.

• Coursera
• 3 hours 51 minutes
• Self-Paced
• Paid Course

Packt

Build with LLMs: Prompt Engineering & Real AI Projects

Master prompt engineering and build real AI projects, covering LLM core concepts, tokenization, few-shot prompting, and chain-of-thought techniques to create an AI-powered Git commit message generator.

• Coursera
• 8 hours 11 minutes
• Self-Paced
• Paid Course

Edureka

Analytics Engineering Workflows with dbt

Master advanced dbt workflows with Jinja, macros, incremental models, testing strategies, and automated CI/CD pipelines for scalable analytics engineering.

• Coursera
• 9 hours 15 minutes
• Self-Paced
• Paid Course

Packt

Advanced Prompt Engineering and Memory Management

Master advanced prompt engineering techniques, memory management, and RAG systems to optimize LLM performance through hands-on projects and real-world applications.

• Coursera
• 6 hours 7 minutes
• Self-Paced
• Paid Course

Advanced Prompt Engineering for Business Professionals

By the end of this course, you will engineer autonomous business agents, design self-correcting workflows, and implement advanced reasoning patterns like Tree of Thoughts. You will master the ability to audit corporate prompts for bias, ensure data priva…

• Coursera
• 3 hours
• Self-Paced
• Paid Course