- Promoted by: Anonymous
- Platform: Udemy
- Category: Project Management
- Language: English
- Instructor: Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello
- Duration: 3 hour(s)
- Student(s): 1,848
- Rate 4.4 Of 5 From 4 Votes
- Expired on July 30, 2025
-
Price:
39.990
Learn to use AI for Analyzing Project Timelines, Optimizing Resource Allocation, Identifying Potential Bottlenecks
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for the "AI (Artificial Intelligence) for Project Planning Excellence" course by Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello on Udemy.
This course, boasting a 4.4-star rating from 4 reviews
and with 1,848 enrolled students, provides comprehensive training in Project Management.
Spanning approximately
3 hour(s)
, this course is delivered in English
and we updated the information on July 30, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
Want to use AI (Artificial Intelligence) for Project Planning Excellence but don’t know what to do and how?
Take a look at this course where you will
Not only learn about AI for Project Planning including how AI helps build Excellence in Project Planning, Case Studies of AI helping build Excellence, Building Blocks of using AI to build Project Planning Excellence and How to implement these AI Building Blocks for Project Planning Excellence in but also
Analyzing Project Timelines, Optimizing Resource Allocation, Identifying Potential Bottlenecks, Prioritizing Tasks for Maximum Efficiency and AI-Powered Dashboards and Decision Support
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My exposure to AI for Project Planning Excellence started as early as the 2010s with Early Automation & Rules-Based Systems
· Tools: MS Project, Primavera P6
· Techniques: Critical path analysis, Gantt charts, simple scheduling algorithms
· AI Use? Not really — only if-then rules and basic macros
· Focus was on automating timelines, not learning or decision-making
I continued to learn during 2010–2017 when AI/ML Adoption Begins
· Key Trigger: Explosion of enterprise project data cloud-based tools
· Use Cases Introduced:
o Predictive analytics for task delays
o Natural Language Processing (NLP) to extract action items from meetings
o Basic ML models to identify at-risk tasks
· Tools Emerged: Clarizen, Wrike, Smartsheet began incorporating ML features
Notable Milestone:
· Google’s internal tools and IBM Watson began experimenting with ML-driven scheduling and resource optimization
I continued to learn with 2018–Present with use of AI for Project Intelligence
· Mainstream Use: AI integrated into project management platforms
· Advanced Capabilities:
o Monte Carlo simulations for timeline prediction
o AI-based task prioritization (Asana, ClickUp, Microsoft Viva)
o Generative AI/NLG for real-time executive summaries
o Dynamic resource allocation via ML models
· Real-time dashboards powered by Power BI AI or Tableau GPT
Post-2020 Surge:
· Generative AI (ChatGPT, Claude, Copilot) integrated into PM tools
· Agile teams using AI to manage backlogs, estimate velocity, detect blockers
I bring in this course my learnings from this journey and share with you how can you also can successfully use AI for Project Planning Excellence
Preview for yourself many lectures free. If you like the content, enrol for the course, enjoy and skill yourself to start using AI for Project Planning Excellence
Please remember that this course comes with Udemy’s 30 days Money Back Guarantee
Please remember to reach out to me for any help in enjoying this course after you enroll