Biomedical Engineering Courses

Coursera Career Certificate

Pixels, Waveforms & Words: Engineering Multimodal AI Systems

Master the full engineering stack for multimodal AI systems—processing images, audio, and text together—using PyTorch, TensorFlow, and OpenCV to build, evaluate, and deploy production-ready solutions.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 12 courses

LearnKartS Career Certificate

Agentic AI Engineering: RAG, MCP & MERN

Master building autonomous AI systems using RAG, MCP & MERN stack—integrating OpenAI, vector databases, and tool calling to deploy production-ready agentic AI applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Career Certificate

DevOps & Site Reliability Engineering Mastery Certification

Master DevOps and SRE skills by building CI/CD pipelines, automating infrastructure with Terraform, deploying Kubernetes apps, and applying SLIs, SLOs, and chaos engineering for reliable cloud-native systems.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

LearnKartS Career Certificate

Backend Engineering with Node.js

Master backend development with Node.js, Express.js, and MongoDB—build secure, scalable, production-ready systems with JWT auth, Redis, Stripe payments, and Heroku deployment.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course

Coursera Career Certificate

Train, Tune, & Ship: End-to-End Machine Learning Engineering

Master the complete ML engineering lifecycle, from training and tuning models to deploying optimized, production-ready systems using PyTorch, TensorFlow, and scikit-learn.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 11 courses

Coursera Career Certificate

Pipeline Architects: Data Engineering to Lakehouse

Master end-to-end data engineering, from ingestion to lakehouse delivery, using Python, SQL, Airflow, dbt, Snowflake, Kafka, and Delta Lake to build production-ready pipelines at enterprise scale.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 10 courses

Coursera Career Certificate

Spark, Skew & Speed: Pipeline Performance Engineering

Master distributed pipeline engineering with Apache Spark—tackle data skew, shuffle inefficiencies, query bottlenecks, and anomalies to build fast, reliable enterprise-scale data systems.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 8 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

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

Coursera

Databricks GenAI Engineering

Master building production-grade GenAI apps on Databricks by constructing RAG pipelines, fine-tuning models with MLflow, and evaluating responses for relevance, hallucination rate, and latency.

• Coursera
• 3 hours 23 minutes
• Self-Paced
• Paid Course

Coursera

Modern Embedded Software Engineering Architecture Toolchains

Master advanced embedded toolchains by configuring cross-compiled ARM builds, generating custom Linux images with Yocto, and implementing lock-free concurrency patterns to eliminate priority inversion.

• Coursera
• 3 hours 34 minutes
• 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

Geospatial Data Engineering

Master geospatial data engineering by building scalable pipelines on AWS and GCP, processing real-time GPS streams, analyzing climate datasets, and creating ESG reports for career-ready outcomes.

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

Whizlabs

Generative AI & Prompt Engineering

Master Generative AI concepts, prompt engineering techniques, and AWS services like Amazon Bedrock and Amazon Q to build intelligent AI-powered applications with RAG architectures and foundation models.

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

Edureka

Advanced Prompting and Context Engineering

Master advanced prompt engineering techniques—from chain-of-thought reasoning to RAG pipelines—while learning to optimize, evaluate, and govern AI prompts responsibly for real-world applications.

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