Reservoir Engineering Courses

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

Edureka Career Certificate

Agentic AI Engineering

Master building intelligent AI agents using LangChain, LangGraph, and MCP frameworks to create multi-step workflows, stateful systems, and complex agent architectures.

• Coursera
• 12 weeks, 6 hours/week
• Self-Paced
• Paid Course
• 4 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

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

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

Packt Career Certificate

Prompt Engineering Masterclass - From Beginner to Advanced

Master prompt engineering from basics to advanced, building AI tools with OpenAI and Anthropic models, designing effective prompts, and creating real-world AI applications using Python.

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

Coursera Career Certificate

Eyes on AI - Computer Vision Engineering

Master computer vision engineering by building, optimizing, and deploying AI systems for real-world applications like autonomous vehicles and medical imaging using PyTorch and MLOps practices.

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

Coursera Career Certificate

Open source Data Engineering with Spark, dbt & Airflow

Master open-source data engineering using Apache Spark, dbt, and Airflow to build scalable pipelines, optimize performance, and deploy CI/CD workflows for production-ready data infrastructure.

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