Biomedical Engineering Courses

Packt

Foundations of AI Engineering

Learn Python programming, data manipulation with NumPy and Pandas, visualization with Matplotlib, and the linear algebra, calculus, and probability behind machine learning models.

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

Packt

ChatGPT and Prompt Engineering With Advanced Data Analysis

Craft ChatGPT prompts for business and coding tasks, analyze Excel and NPS data, run exploratory data analysis, generate DALL-E images, and build Streamlit word clouds.

• Coursera
• 13 weeks, 1 hour a week
• Self-Paced
• Paid Course

Prompt Engineering for AI Image Generation

Write prompts that produce the image you actually want: choose a generative AI image tool, specify content and style, and apply legal and ethical limits at work.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Prompt Engineering for AI Text Generation

Select a generative AI tool and refine prompts to generate business text, summarize information, produce ideas, and address ethical issues of AI-written content.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Get Started with AI Prompt Engineering

Write and iterate AI prompts for reliable outputs, then customize generative AI with your own data and fit it to scrum, kanban, lean, and XP workflows.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Edureka

Analytics Engineering Workflows with dbt

Build scalable dbt projects: write reusable SQL with Jinja and macros, design incremental and snapshot models, add schema and custom tests, and automate runs with Git and CI pipelines.

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

Edureka

Introduction to Analytics Engineering

Build analytics engineering foundations: write analytical SQL, design fact and dimension tables, organize raw, staging, and mart ELT layers, and create, test, and document dbt Core models.

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

Coursera

Foundations of Open Generative AI Engineering

Compare open source, open weights, and open access models: assess MIT, Apache and RAIL-M licenses, Llama, Mistral and diffusion architectures, and parameter, context and speed trade-offs.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Edureka

Applied Analytics Engineering and Visualization with dbt

Refactor dbt models with reusable macros and tests, tune materializations and joins, monitor pipeline freshness, and build KPI dashboards in a BI tool.

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

Coursera

CTO Excellence: Driving Engineering Excellence

Align engineering with business objectives: apply frameworks from IBM, Target and Spotify to scale high-performing teams, manage innovation portfolios, and build a CTO excellence strategy.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Prompt Engineering For New Professionals

Craft, contextualize and optimize prompts for AI models, tuning temperature, top-p and top-k sampling, and applying few-shot learning and iterative refinement to case studies.

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

Prompt Engineering Mastery

Design, test, and refine prompts across AI systems like GPT-4 and DALL·E, mastering image model techniques, output troubleshooting, and ethical, privacy-aware prompting.

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

Pragmatic AI Labs

Data Engineering with Delta Lake on Databricks

Build production ETL pipelines with Delta Live Tables on Databricks: declarative SQL and Python syntax, Auto Loader streaming ingestion, and bronze-silver-gold Medallion layers.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Data Engineering with Scala and Spark

Build batch and streaming data pipelines in Scala and Spark: DataFrames and Spark SQL, Deequ data quality checks, orchestration with Airflow, and Spark UI performance tuning.

• Coursera
• 13 weeks, 1 hour a week
• Self-Paced
• Paid Course

Whizlabs

Prompt Engineering Generative AI & LLM Models Fundamentals

Learn how LLMs are trained, aligned, and evaluated, then design effective prompts and apply fine-tuning, prompt tuning, PEFT, and Retrieval-Augmented Generation.

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