AI-Driven Digital Transformation with Microsoft 365 Copilots

LU1 MS-4004 Empower Your Workforce with Microsoft 365 Copilot Use Cases

• Topic 1: Introduction to Copilot for Microsoft 365
• Topic 2: Explore the possibilities with Copilot for Microsoft 365
• Topic 3: Optimize and extend Copilot for Microsoft 365
• Topic 4: Empower your workforce with Microsoft 365 Copilot: Executives Use Case
• Topic 5: Empower your workforce with Microsoft 365 Copilot: Sales use case
• Topic 6: Empower your workforce with Microsoft 365 Copilot: IT Use Case
• Topic 7: Empower your workforce with Microsoft 365 Copilot: Marketing Use Case
• Topic 8: Empower your workforce with Microsoft 365 Copilot: Finance Use Case
• Topic 9: Empower your workforce with Microsoft 365 Copilot: HR Use Case
• Topic 10: Empower your workforce with Microsoft 365 Copilot: Operations use case
• Topic 11: Empower your workforce with Microsoft 365 Copilot: Challenge Use Case

LU2 MS-4005 Craft Effective Prompts for Microsoft 365 Copilot

• Topic 12: Summarize and simplify information with Microsoft 365 Copilot
• Topic 13: Create and draft with Microsoft 365 Copilot
• Topic 14: Edit and transform content with Microsoft 365 Copilot
• Topic 15: Ask questions and analyze content with Microsoft 365 Copilot

LU3 MS-4007 Microsoft 365 Copilot User Enablement

• Topic 16: Explore user enablement strategies for adopting Microsoft 365 Copilot
• Topic 17: Envision a successful adoption of Microsoft 365 Copilot
• Topic 18: Onboard and empower your employees to use Microsoft 365 Copilot efficiently
• Topic 19: Drive value and maximize the impact of Microsoft 365 Copilot within your organization
• Topic 20: Extend and optimize Microsoft 365 Copilot in your organization

Prerequisite

This is a intermediate level course. The following prerequisite is assumed

• Basic Python

Software Requirement

Pls download and install the following software prior to the class

• Python 3.x https://www.python.org/downloads/
• Sublime Text 3 https://www.sublimetext.com/3
• Pycharm https://www.jetbrains.com/pycharm/download/

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

8-     Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:

9-     Select your Immediate Officer and click Next

10-  Select a Training Provider, then click Next

11-  Please select a training programme from the list, then key in all the required details and click Next

Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

12-  If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next

Insert MiCAS Application number

13-  Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

14-  Please select a Course Title and Type of Training

15-  Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:

16-  Please key in the Training Location and click Next

17-  Please select the Level of Certification and click Next

18-  Please follow the instructions and key in trainee details

19-  Click Add Batch, then click Save

20-  Click Add Trainee Details

21-  Please key in all the required details, then click Add

22-  Click Add if there are more participants. Once done, click Save

23-  Click Next

24-  Please key in the course fees and allowance details, then click Save

25-  Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

26-  Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next

27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

• AI-Powered Business Strategist
• Microsoft 365 Copilot Specialist
• Digital Transformation Consultant
• AI Workflow Optimization Manager
• Business Process Automation Analyst
• Enterprise AI Solutions Consultant
• IT Business Analyst
• AI Content Generation Specialist
• AI-Driven Sales Consultant
• AI-Enabled Marketing Strategist
• Financial Data Automation Specialist
• HR Digital Transformation Manager
• AI-Driven Customer Experience Manager
• Cloud Solutions Architect
• Data-Driven Decision Strategist
• AI Change Management Consultant
• Microsoft 365 Adoption Specialist
• Workplace AI Productivity Manager
• AI-Powered Collaboration Expert
• Corporate Training and AI Enablement Lead

Saeid Alizadeh is a technopreneur specialized in field of IOT (Internet of things), Building Management System (BMS), Building Automation System (BAS), Automotive Hydroponics Systems, and generally sense, monitor and control mechanical and electrical equipment such as ventilation, lighting, power systems, fire systems, and security systems.

Saeid past experience on IoT application include:

1. Smart Building System
2. Energy Monitoring, Controlling and Saving
3. Environmental Monitoring 
4. Flood detection and prediction system based on IoT and big data 
5. Online Weather Station Based on IoT
6. Smart Farming System (Long Range Wireless Sensor Networks)
7. Smart Hydroponic System Based on IoT
8. IP TV and Digital Signage System
9. RFID Solution 
10. GPS Tracking System
11. Remote Sensin

Dr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Ghazaleh Babanejad has received her PhD from University Putra Malaysia in Faculty of Computer ‎Science and Information Technology. She is working on recommender systems in the ‎ field of skyline queries over Dynamic and Incomplete databases for her PhD thesis. She is also working ‎ on Data Science field as a trainer and Data Scientist. She worked on Machine Learning and Process ‎ Mining projects. She also has several international certificates in Practical Machine Learning (John ‎ Hopkins University) Mining Massive Datasets (Stanford University), Process Mining (Eindhoven ‎ University), Hadoop (University of San Diego), MongoDB for DBAs (MongoDB Inc) and some other ‎ certificates. She has more than 5 years of experience as a lecturer and database administrator.