Mining Engineering Courses

Prompt Engineering for AI Text Generation

Master prompt engineering techniques to optimize AI text generation tools for business communication, content creation, and workflow efficiency in just 5 hours.

• Coursera
• 4 hours 55 minutes
• Self-Paced
• Paid Course

Edureka

Prompt Engineering for LLMs

Master systematic prompt engineering techniques to design, evaluate, and scale effective LLM interactions using advanced strategies like few-shot prompting and chain-of-thought reasoning.

• Coursera
• 9 hours 52 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

Prompt Engineering Foundations

Master prompt engineering fundamentals by building AI-powered tools with OpenAI and Anthropic APIs, managing LLMs, and creating real-world projects using Python in under 6 hours.

• Coursera
• 5 hours 29 minutes
• Self-Paced
• Paid Course

LearnKartS

Prompt Engineering for ChatGPT: Beginner to Advanced

Master prompt engineering for ChatGPT, from basics to advanced techniques like Chain-of-Thought and Few-Shot Prompting, to craft precise, high-quality AI outputs for text, images, and code.

• Coursera
• 12 hours 43 minutes
• Self-Paced
• Paid Course

Prompt Engineering Fundamentals

Master prompt engineering from fundamentals to advanced techniques, covering LLMs, structured frameworks, Chain of Thought reasoning, and real-world applications to boost productivity and AI integration.

• Coursera
• 3 hours 39 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

Coursera

Strategize Your Data Engineering Evolution

Elevate your data engineering expertise by mastering architecture gap analysis, SQL-driven cost-benefit models, and strategic migration roadmaps to lead enterprise-wide modernization initiatives.

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

Coursera

Production ML Engineering: Packaging, APIs, and Testing

Master the end-to-end process of packaging ML models, building production APIs, implementing CI/CD workflows, and designing automated tests to deploy reliable machine learning systems.

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

LearnKartS Credential

Agentic AI Engineering: RAG, MCP & MERN

Master building autonomous AI systems using RAG, MCP & MERN stack—integrating OpenAI, vector databases, and tool calling to deploy production-ready agentic AI applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Credential

DevOps & Site Reliability Engineering Mastery Certification

Master DevOps and SRE skills by building CI/CD pipelines, automating infrastructure with Terraform, deploying Kubernetes apps, and applying SLIs, SLOs, and chaos engineering for reliable cloud-native systems.

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

LearnKartS Credential

Backend Engineering with Node.js

Master backend development with Node.js, Express.js, and MongoDB—build secure, scalable, production-ready systems with JWT auth, Redis, Stripe payments, and Heroku deployment.

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

Coursera Credential

Train, Tune, & Ship: End-to-End Machine Learning Engineering

Master the complete ML engineering lifecycle, from training and tuning models to deploying optimized, production-ready systems using PyTorch, TensorFlow, and scikit-learn.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 11 courses

Coursera Credential

Pipeline Architects: Data Engineering to Lakehouse

Master end-to-end data engineering, from ingestion to lakehouse delivery, using Python, SQL, Airflow, dbt, Snowflake, Kafka, and Delta Lake to build production-ready pipelines at enterprise scale.

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

Coursera Credential

Spark, Skew & Speed: Pipeline Performance Engineering

Master distributed pipeline engineering with Apache Spark—tackle data skew, shuffle inefficiencies, query bottlenecks, and anomalies to build fast, reliable enterprise-scale data systems.

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