Course Detail

AI-Assisted Engineering 2.0

Overview
Course Details
Course Fee

Course Overview

Learn to leverage LLMs like ChatGPT and GitHub Copilot to optimize coding, enhance problem-solving, and accelerate project delivery.

Mode of Delivery

Self-paced course (Online Learning)

Course Description

As the software development industry continues to innovate, leveraging Language Learning Models (LLMs) like ChatGPT and GitHub Copilot has become crucial for developers to optimise their workflow and enhance their skill set. These powerful tools enable developers to generate coding solutions efficiently and facilitate creative problem-solving by providing contextual and intelligent suggestions. Mastering the art of communication with these LLMs is paramount in harnessing their full potential and staying ahead of the ever-evolving technological curve.

This course is specially designed to help learners acquire the proficiency needed to effectively engage with LLMs and seamlessly integrate them into their development practices. The goal of this course is to equip engineers with the knowledge and techniques required to elevate your software development process and ultimately accelerate your project's delivery performance.

Module 1: Mastering LLMs 2.5 hrs

Introduction to LLM
Conversational tools
Conversational tools: the art of prompting
Inline tools
Inline tools: the art of context
Inline tools vs. Conversational tools

Module 2: Coding 6 hrs

Task research
Practical task (optional)
New feature creation
Practical tasks (mandatory)
Feature maintenance and bug fixing
Practical tasks (optional)
Refactoring
Practical tasks (optional)

Module 3: Development Testing 1 hr

New test creation
Practical tasks (optional)
Test data generation
Practical tasks (optional)

Module 4: Technical Documentation 0.5 hr

Technical documentation
Practical tasks (optional)

Learning Outcomes

The primary goal of this course is to provide knowledge and practical skills on how AI may speed up the execution of tasks that a midlevel developer faces daily and improve their average performance.

After you complete the course, you should be able to:

Utilise generative AI tools to improve the performance of software engineers during typical tasks:
Create effective prompts for conversational AI tools.
Leverage the features of inline AI tools to gain the best results.
Comprehend the limitations of generative AI tools and the need to validate their outputs.

Who Should Attend

Developers aiming to enhance their workflows and project outcomes through generative AI.

Professionals who want to understand how AI can assist in coding, testing, and documenting development tasks.

Duration

(7.5 Hrs)

Course Fee

$32.70 (Incl. of 9% GST)

Registration Fee

A Registration Fee of $10.90 (Incl. of 9% GST) will be collected upon course registration, and It is non-refundable.
* In the event of any class cancellation by Eduquest, the Registration fee will be refunded

Miscellaneous Fees (Incl. of 9% GST)

Admin Fee for Absent and Reschedule: $32.70

Admin Fee for Make-up Session for Partial Absent, Appeal & Re-assessment: $54.50

Miscellaneous Fees refer to any non-compulsory fees which the trainees pay only when applicable. Such fees are normally collected by Eduquest when the need arises.

Fees indicated are per pax and not per proforma invoice or invoice.

Schedule

More Schedule

Play Video

Course Fee $32.70 (Incl. of 9% GST)

This Course Includes:

Duration: (7.5 Hrs)

Language: English

Related Courses

AI-Assisted Test Automation

Gain knowledge and practical skills on how AI may speed up the execution of tasks that a test automation engineer faces daily and improve their average performance.

Introduction to FinTech

Discover how Fintech is reshaping finance! Explore trends like blockchain, open banking, cryptocurrencies, and mobile payments. Learn how technology is driving smarter, more accessible financial so

EngX Technical Debt Management

This course is designed to provide you with a comprehensive understanding of technical debt, including its causes, effects, and, most importantly, how to manage it effectively.

Generative AI Fundamentals

Learn how large language models process inputs, including tokenisation and prompting techniques. Understand risks like cognitive challenges, security vulnerabilities, and privacy regulations. Explo

EngX Clean Code

Learn to write readable, efficient, and modifiable code. Identify and fix flaws with effective techniques. Master constructive code reviews to improve collaboration and outcomes. Explore how AI too