Ai For Engineers 2025

Prompt Engineering, GPT Creation, and Advanced Automation

What you'll learn

Automate Engineering Tasks with AI - Discover how to streamline calculations, documentation, and data gathering using AI-driven tools.

Master Prompt Engineering & GPT Creation - Learn to craft precise AI prompts, build custom GPTs, and optimize language model performance for faster results.

Leverage AI Agents & Advanced Workflows - Explore AI agents that perform repetitive tasks autonomously, freeing you to focus on high-value problem-solving.

Secure Your Data and Maintain Compliance - Understand best practices for handling confidential information, ensuring data privacy, uphold industry standards

Apply Cutting-Edge AI Techniques - Delve into predictive maintenance, AI-based scheduling, 3D modeling, and other advanced applications relevant to engineering.

Requirements

No Prior AI or Programming Experience Required - Beginners are welcome; the course starts with fundamentals.

Basic Engineering Knowledge - Familiarity with standard engineering concepts is helpful but not mandatory.

Internet Access & a Computer - You’ll need a reliable connection to access course materials and AI tools.

Open Mind & Willingness to Learn - Enthusiasm for exploring AI-driven solutions is crucial for success.

Description

Are you an engineer eager to stay ahead in the fast-evolving world of AI-driven solutions? Look no further. AI for Engineers: Prompt Engineering, GPT Creation, and Advanced Automation is your comprehensive guide to leveraging machine learning and large language models (LLMs) to transform your engineering workflows.Led by industry experts Patricia Manaog, Jonas Berol, and Charlyn Akut, under the guidance of Patrick Law, CEO of Singularity Process Engineering Consultants, this course covers everything from basic prompt engineering to advanced GPT creation, AI agents, and state-of-the-art AI techniques. You’ll learn the basics of how to integrate AI into traditional engineering software like HYSYS, Prosim, Flarenet, MathLab, and more, as well as how to replace older tools with new, AI-driven alternatives.Through step-by-step lessons and hands-on projects, you’ll discover how Singularity’s services can automate repetitive tasks such as calculations, documentation, and report generation—allowing you to focus on innovation and complex problem-solving. Gain insights into data protection methods, feedback loops, advanced 3D modeling, and predictive maintenance. Plus, you’ll explore non-engineering AI tools—like Pictoryai, Grammarly, Notion AI, and ChatGPT—for a well-rounded understanding of how AI can streamline countless aspects of your engineering career.By the end of the course, you’ll have a personalized AI library of prompts, custom GPT recipes, and automated workflows ready to supercharge your productivity, reduce errors, and deliver results faster than ever before.______________________________________________________________________________________________________Key Modules & TopicsModule A: Singularity – Engineering in a DayHow to outsource tasks to Singularity, including prompt creation, GPT development, and maximizing your free trial.Module B: Prompt Engineering for EngineersCrafting effective AI prompts, building reusable libraries, and integrating Python checks for enhanced accuracy.Module C: GPT Creation & UseFine-tuning GPTs, choosing the right LLM, naming for SEO, and setting up a feedback loop for continuous improvement.Module D: AI AgentsAutomating repetitive tasks, streamlining calculations, and tapping into emerging AGI predictions.Module E: Review of Advanced AI TechniquesPredictive maintenance, AI process optimization, advanced drawing generation (P&IDs, 3D), and resource allocation.Bonus Module: AI Tips & TricksPractical non-engineering AI applications—like creating presentations and videos—plus a curated list of top third-party tools._______________________________________________________________________________________________________

Overview

Section 1: Singularity - Engineering in a Day (Module A)

Lecture 1 Introduction to Singularity

Lecture 2 Intro Video: Singularity's Core Services

Lecture 3 Intro Video: Singularity's Data Protection Methods

Lecture 4 Intro Video: How Singularity Incorporates Feedback, Virtual Assistants

Lecture 5 How to Use Singularity's Services

Lecture 6 Why take this course?

Section 2: Introduction to Prompt Engineering (Module B)

Lecture 7 Introduction to Prompt Engineering

Lecture 8 Anatomy of a Good Prompt

Lecture 9 Create an Effective Prompt Library

Lecture 10 Organizing Prompt Libraries: Two Methods

Lecture 11 Intro Video: How to Add Python Calculation Checks

Lecture 12 Intro Video: Pre-Prompts for Engineers

Lecture 13 Intro Video: How to Access Singularity Prompt Library

Lecture 14 Prompting for Static Excel File Output

Section 3: GPT Creation & Use (Module C)

Lecture 15 Introduction to GPT Creation & Use

Lecture 16 Lesson 2: Selecting the Base LLM

Lecture 17 Lesson 3: Naming Your GPT Effectively for SEO

Lecture 18 Lesson 4: Curating Engineering Knowledge Libraries for GPT

Lecture 19 Lesson 5: Creating a Feedback Loop for Continuos Maintenance and Improvement

Lecture 20 Lesson 6: Review of Third-Party Providers for GPT Creation and Maintenance

Section 4: Exercise: GPT Creation & Use

Lecture 21 Lesson 7: Best Practices to Curate a GPT Recipe Book

Section 5: AI Agents (Module D)

Lecture 22 What is an AI Agents?

Lecture 23 Your First Simple AI Agent to Gather Data

Lecture 24 Intro Video: Integrating AI Agents into Basic Data Gathering Engineering Tasks

Lecture 25 Streamlining Calculation-Based Processes Using AI Agents

Lecture 26 Generating and Drafting Engineering Documents Automatically

Lecture 27 Advanced Use Cases for AI Agents

Lecture 28 Introduction to Artificial General Intelligence (AGI)

Section 6: (Bonus Module) Non-Engineering AI Tips & Tricks

Lecture 29 Introduction to Non-Engineering AI Tips & Tricks

Lecture 30 Non-Engineering AI Tips & Tricks Discussion

Lecture 31 List of Useful Third-Party Software

Lecture 32 List of Prompt Libraries, GPT Libraries

Section 7: Exercise: AI Agents

Lecture 33 Lesson 1: Drawing Generation and Modification (PFD, P&IDs, GAs)

Lecture 34 Lesson 2: AI Predictive Maintenance

Lecture 35 Lesson 3: AI Process Optimization

Lecture 36 Lesson 4: AI-Driven Scheduling and Budgeting

Section 8: Review of Advanced AI Techniques for Engineers

Lecture 37 Lesson 1: Drawing Generation and Modification (PFD, P&IDs, GAs, 3D)

Lecture 38 Lesson 2: AI Predictive Maintenance

Section 9: Useful Third Party Software

Lecture 39 Lesson 3: AI Process Optimization

Lecture 40 Introduction to List of Useful Third-Party Software

Lecture 41 Lesson 4: AI-Driven Scheduling and Budgeting

Section 10: List of Prompt Libraries, GPT Libraries

Lecture 42 Introduction to List of Prompt Libraries, GPT Libraries

Engineers and Technical Professionals - Ideal for those in oil & gas, water treatment, manufacturing, and more.,Students & Recent Graduates - Gain a competitive edge by acquiring AI-driven engineering skills early in your career.,Project Managers & Team Leads - Streamline project workflows and optimize resource allocation using AI.,Freelancers & Consultants - Offer cutting-edge AI-enabled services to clients and stand out in a crowded market.,Anyone Interested in AI’s Role in Engineering - Whether you’re curious or actively seeking to future-proof your skill set, this course is for you.