Biomedical Engineering Courses

Introduction to Data Engineering on Google Cloud - Français

Découvrez l'ingénierie des données sur Google Cloud, des fondamentaux aux pipelines ETL/ELT, en passant par la migration, la réplication et l'automatisation des données pour une gestion efficace des projets data.

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

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

Credential

Generative AI for Data Engineering

Gain insights into generative AI for data engineering, exploring models, prompt engineering techniques, and practical applications to enhance ETL pipelines and boost productivity in this IBM program.

• edX
• 10 weeks, 1-3 hours/week
• Self-Paced
• $147.00
• 2 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)

AI Prompt Engineering Fundamentals

ChatGPT Beginner Course in LLM Engineering. Master the Prompting Techniques to Build and Direct Powerful Agentic AI

• edX
• 1 week, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

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

Packt

Introduction to Data Engineering on AWS

Master AWS Glue and Redshift to build scalable ETL pipelines, optimize data warehousing, and transform raw data into actionable insights for modern cloud-based analytics workflows.

• Coursera
• 8 hours 25 minutes
• Self-Paced
• Paid Course

Packt

Prompt Engineering For Everyone with ChatGPT and GPT-4

Master prompt engineering with ChatGPT and GPT-4 through hands-on exercises, advanced techniques, and real-world applications across industries for enhanced AI interactions.

• Coursera
• 5 hours 59 minutes
• Self-Paced
• Paid Course

Packt

ChatGPT and Prompt Engineering for Software Development

Unlock ChatGPT's potential to transform your software development workflow through practical applications in coding, testing, Docker, and system design.

• Coursera
• 7 hours 18 minutes
• Self-Paced
• Paid Course

Defending Against AI-Driven Phishing and Social Engineering

Master AI-driven phishing defense through hands-on simulation tools like SniperPhish and PentestGPT, plus network anomaly detection using machine learning techniques.

• Coursera
• 3 hours 30 minutes
• Self-Paced
• Paid Course

Einführung in Data Engineering in Google Cloud

Entdecken Sie Data Engineering auf Google Cloud: Rollen, Verantwortlichkeiten und Tools für Datenreplikation, Migration und Pipeline-Automatisierung mit BigQuery, Dataflow und mehr.

• Coursera
• 9 hours 4 minutes
• Self-Paced
• Paid Course

AI Prompt Engineering for the Government Workforce (Live Online)

Learn how to design effective AI prompts to improve government operations with this practical, beginner-friendly course.

• CourseHorse
• 4 hours
• Self-Paced
• $675.00

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

KodeKloud

Data Engineering Essentials

Master MLOps-ready data engineering with Kafka, Spark, and Airflow to build scalable, automated pipelines that bridge raw data to production AI systems.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course