Name: Generative AI and ChatGPT - All you wanted to know....
Availability: InStock
Rating: 4.0 (28 reviews)

Live Online Class Intermediate

Generative AI and ChatGPT - All you wanted to know....

4(28)

1732 views

Trainers Rating: 4(28)
Course type: Instructor led live training
Duration: 10 hrs
Start: Next month
Language: English
Views: 1732

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Session recordings included
Interactive Video Lessons
Learn from Industry Expert

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Kapil Singh

Aerospace

Automotive

Why enroll

Unlocking the power of Generative AI and ChatGPT can catapult your career in tech, data science, and AI-driven industries. With this expertise, you'll be sought after as a Conversational AI Developer, AI Content Generator, or Chatbot Designer, and be competitive for senior roles like AI Solutions Architect, AI Innovation Strategist, or Digital Transformation Consultant. You'll be equipped to create intelligent chatbots, automate content creation, and drive business growth through AI-powered solutions. Pursue certifications like Certified Conversational AI Developer or Certified AI Professional to further boost your career. Stay ahead of the curve and capitalize on the vast opportunities emerging in the Generative AI and ChatGPT landscape.

Your instructor

Kapil Singh

Chief Evangelist

Total experience: 10+ years
Location: India

16Courses

54Learners

4Avg trainers rating

Course details

Chat GPT is a rage today attracting an estimated 100 Million visitors per month, indicating that it is a popular platform for users seeking answers to queries that usual search does not. ChatGPT is a large language model created by the company OpenAI. From image creation from abstract ideas to creative writing, artificial intelligence is transforming the way we communicate and interact. ChatGPT is a powerful AI language model that has a wide range of potential applications.

This one-hour round-up on ChatGPT is designed to bring you up to speed with the latest developments in this exciting new technology.

This introductory course will be helpful for Engineering under-graduates, fresh graduates and even mid-level managers.

Course suitable for

Is this course for you?

Perfect for

You work in Aerospace or Automotive
You're a Electronics & Telecommunication / Mechanical Engineering professional
You have some foundational knowledge in the subject
You prefer live, instructor-led training with Q&A

Before you enrol

Intermediate level — assumes the fundamentals of Electronics & Telecommunication
Live online sessions — join on the scheduled dates

New to Electronics & Telecommunication? Browse beginner courses →

Key topics covered

Introduction to Generative AI and ChatGPT

ChatGPT in real life

ChatGPT in Business

ChatGPT and Future of Work

Prompt Engineering with ChatGPT

Group Discussion on Limitations, risks and ethics

Training details

This is a live course that has a scheduled start date.

Opportunities that await you!

Career opportunities

Frequently asked questions

Q: You're on-site enabling a pilot ChatGPT tool inside a maintenance organization, and you're googling 'how to verify ChatGPT tool before production rollout in engineering team'. What should you verify first during acceptance before letting users touch real work?

A: This creates a situation where sensitive drawings or DFMEA content may already be exposed before controls exist. This leads to a false sense of readiness while missing basic governance gaps. This improves usability but doesn't stop uncontrolled data leakage. This prevents irreversible IP and compliance failures before any functional evaluation starts.

Q: An engineer pastes a full wiring diagram into ChatGPT and you're searching 'what happens if engineers paste drawings into ChatGPT'. What is the immediate downstream risk you should react to?

A: This is a quality issue but doesn't create organizational harm by itself. This causes annoyance and rework but not a governance breach. This creates technical debt but stays internal. This triggers legal, contractual, and export-control exposure the moment the data leaves your boundary.

Q: Your company wants to allow ChatGPT for safety-related brainstorming and you're googling 'ISO standard for AI risk management engineering use'. Which standard best fits the gap?

A: This ensures process consistency but doesn't address AI behavior risk. This assumes the AI is part of a safety function, which it isn't in this use case. This protects information security but not AI decision influence. This exists to handle model misuse, bias, and unintended impact specific to AI systems.

Q: ChatGPT gives a confident but wrong torque spec and you're searching 'ChatGPT gave wrong engineering answer what to do'. What is the safest immediate response?

A: This overreacts and removes a useful non-authoritative aid. This bakes an error into the workflow without traceability. This improves tone but not technical validity. This preserves engineering judgment and keeps the AI outside the decision authority chain.