Geotechnical Engineering Courses

Coursera

Databricks GenAI Engineering

Master building production-grade GenAI apps on Databricks by constructing RAG pipelines, fine-tuning models with MLflow, and evaluating responses for relevance, hallucination rate, and latency.

• Coursera
• 3 hours 23 minutes
• 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

Board Infinity

Agent Foundations and Prompt Engineering

Master the design and deployment of AI agents using LLMs, advanced prompt engineering techniques, and automated workflows for research, summarization, and decision-making tasks.

• Coursera
• 21 hours 5 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

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 Career Certificate

LLM Engineering That Works: Prompting, Tuning, and Retrieval

Master production-grade LLM systems through hands-on engineering, from prompt design to deployment, evaluation, and ethical AI practices for scalable applications.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

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

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