Certified Generative AI For Program Management

•Generative AI Basics

•Overview of Generative AI Tools (e.g., GPT-4, DALL·E 2, Codex)

•The Role of Generative AI in Management: Leveraging AI for decision-making, forecasting, and innovation

•Case Study: Adopting Generative AI for Strategic Planning (e.g., AI-powered scenario planning for market expansions)

•Key Tools: GPT-3, DALL·E 2, Codex, and emerging AI models

•Practical Applications in Marketing, Customer Support, and Product Development

•Workflow Integration of Generative AI with Enterprise Systems (e.g., CRM, ERP integration)

•Case Study: Revolutionizing Content Creation with DALL·E 2 (AI for marketing collateral and social media graphics)

•AI in Scoping and Project Planning (AI-based estimations and timeline optimization)

•Documentation Automation using AI-powered tools (e.g., Google Docs with GPT-4, AI for Proposal Generation)

•Risk Management with AI (Predictive risk modeling and decision analysis)

•Case Study: Streamlining Project Planning with GPT-4 (AI for task prioritization, risk analysis, and milestone tracking)

•AI for Data Analysis: Insights from structured and unstructured data

•Decision-Making Insights powered by AI models (e.g., using GPT for generating actionable business insights from data)

•Privacy and Security: Safeguarding data with AI-driven compliance and monitoring

•Case Study: Enhancing Data Analysis for Market Insights using Generative AI tools

•AI for Team Communication: Virtual assistants, automated meeting summaries, and task management

•Managing Remote Teams using AI-powered collaboration tools (e.g., AI-based project tracking, task allocation)

•Stakeholder Engagement: Using AI to personalize communication and project updates for stakeholders

•Case Study: Enhancing Collaboration with AI-driven communication platforms like Slack with AI integrations

•Ethical Considerations in AI development and deployment (e.g., AI ethics, transparency, explainability)

•Bias and Fairness in Generative AI models (addressing model bias, fairness metrics)

•Compliance with AI regulations (e.g., GDPR, AI Act, algorithmic transparency)

•Exploring AI's social impact, including job displacement, data privacy, and ethical frameworks for AI development

•Learn to Create AI-Enhanced PowerPoint Presentations, Images, and Chart Analysis for Business Purposes

•Leverage AI for Automated Data Insights, Simplifying the Journey from Data Collection to Impactful Business Strategies

•Harness AI for Document Summarization, Distilling Vast Information into Concise Summaries Effortlessly

•Build AI-powered Personalized Recommendation Systems with Your Data on PDF/Word Documents Using AI Assistants

•Content Generation (Audio, Video, Images) with Prompt Engineering

•Hands-On Demo: Using Generative AI for Marketing Campaign Optimization, Sales Predictions, and Customer Engagement

•Personalized 1-on-1 Trainer/SME Connect Session - Receive a 1-on-1 connect session from Trainer/SME to resolve all types of queries.

•Daily Live Session with Lifelong Learning - Participate in a daily live session with industry experts where professionals from around the world connect with SMEs and have a brainstorming session.

•What Agentic AI is All About (Autonomous AI agents for decision-making, workflow optimization, and task execution)

•The Difference Between Generative and Agentic AI: Generative AI for content creation vs Agentic AI for autonomous decision-making

•How Agentic AI Works: Multi-Agent Systems for workflow management and self-optimizing processes

•AI as Enterprise Optimizers: Implementing Agentic AI for real-time decision-making and business optimization