Ai (Artificial Intelligence) For Project Planning Excellence

Learn to use AI for Analyzing Project Timelines, Optimizing Resource Allocation, Identifying Potential Bottlenecks

What you'll learn

How can AI help build Excellence in Project Planning

Case Studies of AI helping build Excellence in Project Planning

Building Blocks of using AI to build Project Planning Excellence

How to implement these AI Building Blocks for Project Planning Excellence

Analyzing Project Timelines

Optimizing Resource Allocation

Identifying Potential Bottlenecks

Prioritizing Tasks for Maximum Efficiency

AI-Powered Dashboards and Decision Support

Requirements

3 hours learning time

Description

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 willNot 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 alsoAnalyzing Project Timelines, Optimizing Resource Allocation, Identifying Potential Bottlenecks, Prioritizing Tasks for Maximum Efficiency and AI-Powered Dashboards and Decision SupportPreview many lectures for free to see the content for yourselfClear your doubts on this topic any time while doing the courseGet Udemy’s 30 days Money Back GuaranteeMy 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-makingI 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 delayso Natural Language Processing (NLP) to extract action items from meetingso Basic ML models to identify at-risk tasks· Tools Emerged: Clarizen, Wrike, Smartsheet began incorporating ML featuresNotable Milestone:· Google’s internal tools and IBM Watson began experimenting with ML-driven scheduling and resource optimizationI 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 predictiono AI-based task prioritization (Asana, ClickUp, Microsoft Viva)o Generative AI/NLG for real-time executive summarieso 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 blockersI bring in this course my learnings from this journey and share with you how can you also can successfully use AI for Project Planning ExcellencePreview 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 ExcellencePlease remember that this course comes with Udemy’s 30 days Money Back GuaranteePlease remember to reach out to me for any help in enjoying this course after you enroll

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Overview

Lecture 2 Overview I

Lecture 3 Overview II

Lecture 4 Overview III

Lecture 5 Overview IV

Section 3: Analyzing Project Timelines

Lecture 6 Analyzing Project Timelines I

Lecture 7 Analyzing Project Timelines II

Lecture 8 Analyzing Project Timelines III

Section 4: Optimizing Resource Allocation

Lecture 9 Optimizing Resource Allocation I

Lecture 10 Optimizing Resource Allocation II

Lecture 11 Optimizing Resource Allocation III

Section 5: Identifying Potential Bottlenecks

Lecture 12 Identifying Potential Bottlenecks I

Lecture 13 Identifying Potential Bottlenecks II

Lecture 14 Identifying Potential Bottlenecks III

Section 6: Prioritizing Tasks for Maximum Efficiency

Lecture 15 Prioritizing Tasks for Maximum Efficiency I

Lecture 16 Prioritizing Tasks for Maximum Efficiency II

Lecture 17 Prioritizing Tasks for Maximum Efficiency III

Section 7: AI-Powered Dashboards and Decision Support

Lecture 18 AI-Powered Dashboards and Decision Support I

Lecture 19 AI-Powered Dashboards and Decision Support II

Lecture 20 AI-Powered Dashboards and Decision Support III

Section 8: Summary

Lecture 21 Summary

Aspiring and current project management professionals