Biomedical Engineering Courses

Mastering Generative AI for Data Engineering

Gain insights into using generative AI for data engineering tasks, from architecture design to ETL workflows, with hands-on projects to enhance your skills and career prospects in this high-demand field.

• edX
• 4 weeks, 3-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Generative AI Engineering

Master generative AI engineering with hands-on training in LLMs, NLP, and Python. Develop applications using transformers, RAG, LangChain, and more while building practical skills through projects that showcase your expertise to employers.

• edX
• 50 weeks, 2-4 hours/week
• Self-Paced
• $1,004.00
• 15 courses

Pragmatic AI Labs Credential

Data Engineering Foundations

Master data engineering with Python, Rust, SQL, and tools like Pandas, FastAPI, and Kubernetes. Build pipelines, automate workflows, and optimize data systems through hands-on learning across Linux, containerization, and cloud platforms.

• edX
• 32 weeks, 3-6 hours/week
• Self-Paced
• $3,592.00
• 8 courses

LearnKartS

Data Engineering Foundations on AWS

Discover AWS data engineering fundamentals through hands-on experience with S3, EBS, EFS, ETL pipelines, SQL, and data modeling to build job-ready cloud skills for in-demand roles.

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

Edureka Credential

LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG

Master end-to-end LLM engineering from prompt design to fine-tuning, optimization, and RAG using LangChain, Hugging Face, and LangGraph for production-ready applications.

• Coursera
• 8 weeks, 6 hours/week
• Self-Paced
• Paid Course
• 3 courses

Packt Credential

AI & LLM Engineering Mastery - GenAI, RAG Complete Guide

Master AI and LLM engineering through hands-on projects building GenAI applications, RAG systems, chatbots, and fine-tuned models with prompt engineering and API integration.

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

Pragmatic AI Labs Credential

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 Credential

Agentic AI Engineering

Master building intelligent AI agents using LangChain, LangGraph, and MCP frameworks to create multi-step workflows, stateful systems, and complex agent architectures.

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

Coursera Credential

Eyes on AI - Computer Vision Engineering

Master computer vision engineering by building, optimizing, and deploying AI systems for real-world applications like autonomous vehicles and medical imaging using PyTorch and MLOps practices.

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

Coursera Credential

LLM Engineering That Works: Prompting, Tuning, and Retrieval

Master production-grade LLM engineering covering prompt design, model tuning, retrieval, evaluation, and deployment through hands-on projects for scalable, ethical AI systems.

• Coursera
• Self-Paced
• Paid Course
• 6 courses

Packt Credential

AI Engineering Masterclass: From Zero to AI Hero

Master AI engineering from Python basics to advanced neural networks, deep learning, and real-world applications like image classification and sentiment analysis.

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

Credential

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

EDUCBA Credential

Apache Avro & Kafka Data Engineering Projects

Master Apache Avro & Kafka through hands-on projects building serialization pipelines, real-time streaming systems, and enterprise search solutions for large-scale data platforms.

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

Coursera Credential

Level Up: Advanced SQL for Data Engineering

Master advanced SQL skills for data engineering, covering ELT pipelines, lakehouse architecture, performance optimization, security, and data governance to excel in senior engineering roles.

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

Coursera Credential

Performance Engineering for Data Systems

Master SQL optimization, Spark tuning, and cloud infrastructure to build high-performance data systems that deliver measurable business value through hands-on engineering practices.

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