Structural Engineering Courses

Pragmatic AI Labs Career Certificate

Rust for Data Engineering

Master production-grade data engineering in Rust, building ETL pipelines, serverless functions, SQL/NoSQL systems, and GCP deployments through hands-on, project-driven courses with real workloads.

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

Whizlabs

Generative AI & Prompt Engineering

Master Generative AI concepts, prompt engineering techniques, and AWS services like Amazon Bedrock and Amazon Q to build intelligent AI-powered applications with RAG architectures and foundation models.

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

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

Packt

Generative AI & Prompt Engineering for Design & Content

Master generative AI and prompt engineering to transform content creation, design visuals, automate workflows, and scale multimedia campaigns using Canva, Adobe Firefly, and Runway ML.

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

Prompt Engineering for All Employees

Master practical AI skills for the workplace—learn prompt engineering frameworks, role-specific use cases, output evaluation, and build a 30-day AI adoption plan to boost productivity confidently.

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

Packt

Context Engineering for Multi-Agent Systems

Master context engineering for multi-agent AI systems, replacing fragile prompts with structured, scalable architectures using RAG, MCP, and Context Engines for reliable, production-ready solutions.

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

Packt

Data Engineering with Databricks Cookbook

Master data engineering with Apache Spark, Delta Lake, and Databricks. Build scalable pipelines, optimize performance, manage streaming data, and implement DataOps/DevOps practices for real-world applications.

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

Advanced Techniques and Applications in Prompt Engineering

Master advanced prompt engineering techniques for AI models like GPT, DALL-E, and BERT, covering A/B testing, multilingual design, bias reduction, and ethical considerations for real-world applications.

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

Foundations of Prompt Engineering for Generative AI

Master prompt engineering for generative AI—learn to craft effective prompts, optimize AI outputs, and apply skills across industries like healthcare, education, and business, with no coding experience required.

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

Board Infinity

Mastering Tabular ML: Feature Engineering to Production

Master tabular ML by building a Dynamic Pricing Engine—covering feature engineering, XGBoost, LightGBM, Optuna tuning, SHAP, stacking ensembles, and FastAPI deployment.

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

Prompt Engineering: Tools, Models, and Future Directions

Explore prompt engineering across AI platforms like RunwayML, Midjourney, and Google Bard, mastering techniques for image, audio, video, and text generation to unlock career opportunities in AI innovation.

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

Career Certificate

The Quick Guide to Prompt Engineering

Master prompt engineering from fundamentals to advanced techniques, working with GPT, DALL-E, BERT, and Codex to design high-impact prompts for diverse generative AI platforms across creative and technical fields.

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

Context Engineering for Beginners

Master context engineering for AI tools like ChatGPT, Claude, and Gemini—learn to manage context windows, memory, knowledge bases, and prompts for consistently better results. No technical background required.

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

Launch Your DevOps Engineering Career

Unlock strategies for landing senior DevOps roles, from optimizing your resume with metric-driven achievements to mastering system design and incident-response interview scenarios.

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