Structural Engineering 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

Coursera

Deep Learning Model Engineering and Optimization

Master deep learning model engineering by selecting architectures, building PyTorch baselines, and optimizing models with regularization, hyperparameter tuning, and advanced techniques for production-ready performance.

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

L&T EduTech

Industrial Safety Engineering

Master industrial safety with HSE practices, hazard identification, risk assessment, JSA, PTW, LOTO, and chemical safety for safer workplaces across industrial sectors.

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

Coursera

Modern Embedded Software Engineering Architecture Toolchains

Master advanced embedded toolchains by configuring cross-compiled ARM builds, generating custom Linux images with Yocto, and implementing lock-free concurrency patterns to eliminate priority inversion.

• Coursera
• 3 hours 34 minutes
• 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

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

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

Coursera

Foundations of Open Generative AI Engineering

Discover the principles and architectures of open generative AI models, from licensing frameworks to performance trade-offs, and develop skills to select the right model for your needs.

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

Coursera

Geospatial Data Engineering

Master geospatial data engineering by building scalable pipelines on AWS and GCP, processing real-time GPS streams, analyzing climate datasets, and creating ESG reports for career-ready outcomes.

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

Edureka

AI-Powered Data Engineering with Snowflake

Build practical expertise in AI-powered data engineering using Snowflake, generative AI, and modern cloud data architecture. You will learn how data engineers design, build, improve, and manage intelligent data pipelines that support analytics, AI applic…

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

Olay

AI Beauty: Transforming Cosmetics via Prompt Engineering

This short course introduces beauty professionals and tech-savvy innovators to the role of AI in the cosmetic industry. Through focused instructional content, interactive activities, and hands-on AI applications, learners explore how AI enhances product…

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

Practical Prompt Engineering with AI

Master AI prompting to summarize, analyze data, and generate visuals using Claude, Custom GPTs, and DALL·E for smarter workplace productivity.

• Coursera
• 2 weeks, 6 hours a week
• 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

Whizlabs

Prompt Engineering Generative AI & LLM Models Fundamentals

Master prompt engineering and LLM fundamentals through hands-on training, optimization techniques, and advanced architectures like RAG for real-world AI applications.

• Coursera
• 6 hours 28 minutes
• Self-Paced
• Paid Course