Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Claude AI Masterclass

Course Code: C1382
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What's This Course About

Claude AI Masterclass shows you how to put an AI coworker on your team. Claude Cowork is Anthropic's agentic AI workspace that works directly with your files and folders, organising documents, drafting reports, building spreadsheets and presentations, and completing multi-step tasks from a single plain-English brief, with no coding required. The masterclass is designed for professionals, managers, administrators, analysts and business owners who want to delegate routine knowledge work to AI and focus on higher-value tasks.

You will start by getting started with Claude Cowork, setting it up on your computer, giving it access to the right folders, understanding how it plans and carries out tasks, and learning how to write clear briefs with goals, context and expected outputs. Next you will automate everyday work with Cowork, using it to sort and rename files, summarise and compare documents, extract data from PDFs into spreadsheets, draft reports and emails, and create presentations from your notes and data.

The final topic covers advanced Cowork workflows, including connecting Cowork to other apps and data sources through connectors, creating reusable skills for tasks you repeat, scheduling recurring work and chaining multi-step processes. Throughout the masterclass you will learn how to review Cowork's output, manage permissions and keep sensitive information safe. Every activity is hands-on with realistic work scenarios. By the end, you will be able to use Claude Cowork confidently as a productive AI coworker.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Claude Cowork for Digital Marketing

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: Getting Started with Claude Cowork

Topic 2: Automating Everyday Work with Cowork

Topic 3: Advanced Cowork Workflows

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Mac with Apple silicon (M1 or later), or a Windows 10/11 Pro, Enterprise or Education laptop (Cowork does not run on Intel Macs or Windows Home)

Job Roles

Job Roles

  • AI Developer
  • Full Stack Developer
  • Machine Learning Engineer
  • Software Engineer
  • DevOps Engineer
  • AI Solutions Architect
  • Backend Developer
  • Frontend Developer
  • Data Engineer
  • Prompt Engineer
  • AI Product Manager
  • Technical Lead
  • Automation Engineer
  • Platform Engineer
  • QA Automation Engineer
  • Cloud Developer
  • AI Research Engineer
  • Developer Advocate
  • Technical Consultant
  • Engineering Manager

Trainers

Trainers

James Lee Kin Nam is a ACTA certified trainer. James has more than 20 years of progressive training experience in both corporate enterprises and educational institutes. He is certified by Adobe as an Adobe Certified Expert, Instructor and Web Specialist. He holds an Advanced Certificate in Learning and Performance (ACLP Certified Trainer / Assessor) in adult training. He is also an MOE Registered Instructor. Graduated in the area of Computer Studies and Multimedia Development, he specializes in graphics, animation and web technologies.
He was a former Adjunct Lecturer for Singapore Polytechnic, Web Developer for Nanyang Technological University (NTU) and Social Media & Content Specialist for Equinet Academy. He is currently an External Consultant & Training Associate at Boston Consulting Group. He has guided many users in the usage of Adobe applications and website development to achieve greater heights in their career advancement. With his knowledge and experiences, James has the ability to explain and simplify complex concepts. He will be able to make positive contributions to your learning journey.

Allen Wong is a ACTA certified trainer. He is also a seasoned digital marketing strategist, He brings over eight years of experience across diverse industries - e-commerce, events, FMCG, real estate, and finance. 300% career-wide ROAS, peaking at 1000% in events, he has generated $2M in e-commerce revenue and over $5M in sales. An AI enthusiast and industry pioneer, Allen's innovative approach to data-driven marketing drives high-impact, cost-effective results.

Review

Customer Reviews (141)

Perfect! Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
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Instructor is very engaging and knowledgeable (Posted on 12/28/2023)
might recommend Review by Course Participant/Trainee
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3. How do you find the training environment
. (Posted on 11/25/2023)
will recommend Review by Course Participant/Trainee
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3. How do you find the training environment
Maybe can just cover the content creation but can leave out the digital marketing part (Posted on 11/25/2023)
will recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
, (Posted on 11/24/2023)
will recommend Review by Course Participant/Trainee
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3. How do you find the training environment
. (Posted on 11/24/2023)

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