Biomedical Engineering Courses

Coursera

DevOps and CI/CD for Data Engineering Performance

Master DevOps practices for data engineering—covering Git conflict resolution, Docker containerization, Ansible automation, CI/CD pipelines, and query optimization to build production-ready, portfolio-worthy skills.

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

Pragmatic AI Labs

Data Engineering with Delta Lake on Databricks

Master production-ready data pipelines using Delta Live Tables and Medallion Architecture on Databricks through hands-on labs and a complete inventory management capstone project.

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

Pragmatic AI Labs Career Certificate

Enterprise AI and Data Engineering with Databricks

Master enterprise AI and data engineering on Databricks through hands-on lakehouse architecture, Delta Lake pipelines, MLflow tracking, generative AI with LLMs, and production MLOps governance.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 5 courses

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

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

Coursera

Strategize Your Data Engineering Evolution

Elevate your data engineering expertise by mastering architecture gap analysis, SQL-driven cost-benefit models, and strategic migration roadmaps to lead enterprise-wide modernization initiatives.

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

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

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