Geotechnical Engineering Courses

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

Packt

Manufacturing & Engineering

Explore essential manufacturing concepts including LEAN methodology, teamwork, safety protocols, and process optimization tools to enhance industrial operations and workplace effectiveness.

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

Packt

ChatGPT and Prompt Engineering for Software Development

Unlock ChatGPT's potential to transform your software development workflow through practical applications in coding, testing, Docker, and system design.

• Coursera
• 7 hours 18 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

Pragmatic AI Labs

Data Engineering with Delta Lake on Databricks

Master production-ready data pipelines using Delta Live Tables and Medallion Architecture on Databricks through hands-on labs and a complete inventory management capstone project.

• Coursera
• 5 hours 9 minutes
• Self-Paced
• Paid Course

Packt

Data Engineering with Scala and Spark

Master building scalable data pipelines with Scala and Spark, covering streaming/batch processing, performance tuning, testing, CI/CD, and cloud deployment for data engineers.

• Coursera
• 17 hours 56 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

Packt

Fundamentals of Analytics Engineering

Master analytics engineering from data ingestion to visualization, covering ELT workflows, cloud warehousing, dbt, and Tableau while building scalable, reliable data platforms with real-world applications.

• Coursera
• 20 hours 23 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

GitHub: Advanced Prompt Engineering for Code

Master advanced GitHub Copilot techniques—multi-turn interactions, iterative refinement, and context control with @workspace and #file markers—to produce production-quality code efficiently.

• Coursera
• 3 hours 14 minutes
• Self-Paced
• Paid Course

Prompt Engineering for ChatGPT

Master prompt engineering for ChatGPT using frameworks like CO-STAR, RACE, and CREATE to eliminate hallucinations, chain complex prompts, and transform AI into a professional productivity multiplier.

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

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

LearnKartS

Integrate AI Models in n8n: Prompt Engineering & Outputs

Embed OpenAI, Claude, Gemini, and Ollama into n8n workflows. Master prompt engineering, structured outputs, email automation, and local LLM setup to build self-running AI systems.

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