Biomedical Engineering Courses

Packt

ChatGPT and Prompt Engineering With Advanced Data Analysis

Master ChatGPT and prompt engineering for business automation, data analysis, content creation, and machine learning integration across various professional applications.

• Coursera
• 8 hours 54 minutes
• Self-Paced
• Paid Course

Coursera Credential

Modern Data Architecture & Lakehouse Engineering

Discover how to architect production-ready lakehouse platforms combining data lakes and warehouses with hands-on training in Spark, dbt, Airflow, and cloud infrastructure optimization.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 2 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

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

Coursera Credential

Deep Learning Engineering

Master production-scale deep learning systems through TensorBoard diagnostics, PyTorch optimization, transformer fine-tuning, and GPU deployment with containerized infrastructure.

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

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

Packt

Ultimate AWS Data Engineering Bootcamp - 15 Real-World Labs

Master AWS data engineering through 15 hands-on labs covering Redshift, DynamoDB, Kinesis, and more. Build real-time pipelines, datalakes, and event-driven solutions for practical scenarios.

• Coursera
• 12 hours 49 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

Coursera

CTO Excellence: Driving Engineering Excellence

Master strategic technology leadership by aligning engineering with business value, building high-performing teams, and implementing innovation frameworks from IBM, Target, and Spotify.

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

Prompt Engineering Mastery

Master AI communication through structured prompt engineering techniques, covering GPT-4, DALL·E 2, and LangChain with hands-on practice and ethical AI principles.

• Coursera
• 1 day 12 hours 52 minutes
• Self-Paced
• Paid Course

Prompt Engineering For New Professionals

Master the art of communicating with AI models through effective prompt design, optimization techniques, and real-world applications across industries.

• Coursera
• 1 hour 25 minutes
• Self-Paced
• Paid Course

Credential

IBM Applied DevOps Engineering

Master DevOps practices, tools, and technologies for Agile development. Learn cloud-native skills like containers, microservices, CI/CD, and application security. Build a project portfolio and gain job-ready experience.

• Coursera
• 13 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 8 courses

Credential

IBM DevOps and Software Engineering

Comprehensive program covering DevOps practices, tools, and technologies. Develop skills in Agile, Python, Linux, cloud computing, containerization, microservices, CI/CD, and application security for an entry-level software engineering role.

• Coursera
• 13 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 13 courses

DevOps and Software Engineering Capstone Project

In this DevOps Capstone Project, you’ll demonstrate your skills and knowledge gained throughout this program with a real-world inspired hands-on project developing and deploying an application using CI/CD to showcase in your portfolio.

• edX
• 5 weeks, 8-10 hours/week
• Self-Paced
• Free Online Course (Audit)

Feature Engineering - 한국어

Vertex AI Feature Store에 관해 알고 싶으신가요? ML 모델의 정확성을 개선할 방법을 알고 싶으신가요? 어떤 데이터 열에서 가장 유용한 특성이 나오는지 파악하려면 어떻게 해야 할까요? 특성 추출 과정에서는 좋은 특성과 나쁜 특성을 살펴보고 모델에서 이러한 특성을 적절하게 활용할 수 있도록 사전 처리하고 변환하는 방법을 알아봅니다. 이 과정은 BigQuery ML, Keras, TensorFlow를 사용한 특성 추출에 관한 콘텐츠와 실…

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