SKU: 85211689799

Maintenance Engineering Best Practices

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Description

Maintenance Engineering Best PracticesEarn 8 PDH . 8 CEU (Total course 8 hours) To hold a private course for your team or customers, contact patty@pbjmediaholdings. com ABOUT THE COURSE This course caters to Plant Engineers, Professional Engineers, Maintenance Engineers, Facilities Managers, Architects, and other Professionals who are interested in enhancing their knowledge and exposure to a broad spectrum of engineering disciplines involved in maintenance and facilities management of

Earn 8 PDH | .8 CEU (Total course 8 hours)

To hold a private course for your team or customers, contact [email protected] 

ABOUT THE COURSE

This course caters to Plant Engineers, Professional Engineers, Maintenance Engineers, Facilities Managers, Architects, and other Professionals who are interested in enhancing their knowledge and exposure to a broad spectrum of engineering disciplines involved in maintenance and facilities management of modern industrial and commercial facilities. This course shares some proven and effective plant maintenance engineering best practices that are learned through experience and are not an explicit component of engineering curricula. This seminar introduces the participants to computer-based maintenance work order systems, their core functions/features and their pros and cons. For those professionals who are experienced in the industrial and commercial technology, this course provides an opportunity to refresh and expand their knowledge on making “repair versus replace” decisions on capital intensive plant equipment; real yet obscure costs of energy and other vital utilities; preventive maintenance of mechanical and electrical equipment, vibration testing and predictive maintenance; increasing MTBF, mean time between failures, on HVAC and other plant equipment; maintenance troubleshooting and problem solving. Participants are refreshed on and introduced to fundamental electrical terms and principles, followed by a virtual tour of electrical equipment found commonly in industrial plants and commercial facilities. Attendees are reminded of the importance of workplace safety and introduced to common electrical and electronic safety equipment. Board acceptance guarantee. The audience is engaged through Q&A, classwork, and ad hoc discus sions pertaining to the topic

Topics to be covered
• Maintenance Engineering and Management
• Fundamentals of Electricity. Electrical and Control Systems
• Heating, Ventilation and Air Conditioning
• Preventive and Predictive Maintenance, and Cost Savings Opportunities
• Energy Management and Conservation.
• Safety in Industrial Environment
• Plant Project Engineering and Management
• Life Cycle Cost and Economic Justification of Capital Projects

Learning Objectives & Take-Aways
1. You will have a better appreciation of challenges associated with sustaining and
maintaining large industrial and commercial facilities, effectively and efficiently.
2. You will be able to apply proven best practices that can help you maintain/sustain
large industrial, institutional and commercial equipment and other critical assets
in a cost effective, efficient and lean manner.
3. You will gain familiarity with major types of electrical and mechanical equipment.
4. You will be able to apply proven and effective energy and other utilities
conservation ideas to reduce the operating costs in large industrial, institutional and
commercial facilities.
5. You will be able to apply proven best practices for effective interface and
management of maintenance, energy and utilities technicians.
6. You will be able to apply proven and effective safety best practices in large industrial,
institutional and commercial environment.
7. You become aware of plant engineering project mapping and project flow.
8. You will know the gravity of workplace harassment, team morale and positive
reinforcement.
9. You will know how to develop project life cycle cost and how to perform basic
financial analysis.
10. You will get answers to your plant maintenance, facilities management, and plant engineering related questions

Who should attend:
- Licensed Professional Engineers, who need to meet the annual or biennial license
renewal PDH (Professional Development Hour) or CEU (Continuing Education
Units) requirements.

- Engineers and Architects who do not possess first-hand experience in the field of
maintenance engineering and would like to learn proven best practices associated with sustainability of equipment and other assets in large industrial and commercial
facilities.

- Facility Managers, Engineering Managers, Program/Project Managers and
other executives who supervise maintenance engineers.

- Maintenance Engineers and Maintenance Managers who wish to expand their
knowledge about maintenance engineering and facilities management by learning
about proven maintenance engineering best practices from someone who has been in the “trenches” and fought “fires’ in large industrial plants.

- Other professionals whose annual PLP, Performance and Learning Program,
includes engineering/technical courses/seminars/workshops.

ABOUT THE INSTRUCTOR
Bobby Rauf, P.E, C.E.M, MBA

Bobby Rauf is the President, Chief Consultant and a Senior Instructor at Sem-Train, LLC. He is a licensed Professional Engineer, in the State of North Carolina and is a Certified Energy Manager.

Mr. Rauf was inducted as “Legend in Energy” by AEE, in 2014. He is a published author of multiple engineering and energy books and professional development courses and holds a patent in process controls technology. He’s a member of ASEE, American Society of Engineering Education.

Mr. Rauf develops and instructs professional development or continuing education, energy and engineering skill building, and engineering cross-training courses. Some of his major clients include accredited universities in the US and abroad, major US and international corporations, and governmental institutions. He is also an Adjunct Professor at Gardner-Webb University.

During his long career with PPG Industries, Inc. as Senior Staff Engineer, his responsibilities included development and management of energy and ergonomics programs for multiple manufacturing plants, in the US and overseas. He also provided consultation and training services in the energy, electrical engineering, industrial safety, ergonomics and arc flash arena.

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SKU: 85211689799

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noam barkay
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I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
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Ryan Meyer
Lexington, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Vineeth Sai
Belleville, US
★★★★★ 5
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This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025
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CL
West Palm Beach, US
★★★★★ 5
Loved it
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I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
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Amazon Customer
Port Orchard, US
★★★★★ 5
A Good Place to Start Learning AI
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Reviewed in the United States on September 2, 2024

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