Live Online Training
Generative AI & LLM Course for Business Professionals
The senior business-focused AI program at Mindvex. Twelve weeks of live instruction on generative AI strategy, ROI, governance, and applied use — built for managers, analysts, and executives. No coding required. Group pricing available for corporate teams.
Live Online Training
No Coding Required
For Managers & Executives
Group Pricing Available
Trusted by Learners & Professionals from Top Companies
WHY LEARN GENERATIVE AI TODAY?
AI Fluency Is Now a Leadership Requirement
- Generative AI has become a leadership competency, not a technical specialty
- Learn to evaluate vendors, set strategy, and govern AI use across your organization
- No coding required — every concept taught accessibly for senior professionals
- Group pricing supports full leadership teams enrolling together
- Case-study driven — build judgment, not just familiarity
WHAT YOU'LL LEARN
Generative AI Landscape
AI Strategy & ROI
Prompt Design for Business
AI Vendor Evaluation
AI Governance Frameworks
EU AI Act & US Regulation
Responsible AI Deployment
Change Management for AI
AI TOOLS & PLATFORMS YOU'LL EXPLORE
ChatGPT
The most widely used general-purpose AI assistant
Claude
Anthropic's model for long-form reasoning and analysis
Gemini
Google's multimodal assistant integrated with Workspace
Microsoft Copilot
AI built into the enterprise Microsoft stack
Perplexity AI
Research-focused AI with citations
NotebookLM
Google's AI for document analysis
Gamma
AI-powered presentation and document creation
Otter.ai
AI meeting transcription and summaries
Zapier AI
No-code AI workflow automation
Midjourney
Enterprise-grade AI image generation
HeyGen
AI video avatars for training and marketing
Canva AI
Design tools for marketing and communications
COURSE CURRICULUM
01
02
03
04
05
Week 1
AI Landscape
- What generative AI actually is
- How large language models work
- Model families and their strengths
- The broader AI ecosystem
- Reading AI news critically
Week 4
Prompt Design for Business
- Anatomy of an effective business prompt
- Role and persona prompting
- Working with structure and format
- Iterative refinement
- Building a personal prompt library
Week 7
AI Strategy Frameworks
- Identifying high-value use cases
- Building the business case
- Vendor evaluation criteria
- ROI measurement
- Build vs buy vs integrate
Week 10
EU AI Act & Regulation
- EU AI Act structure and risk categories
- US federal executive orders and NIST
- State-level AI regulation
- Sector-specific requirements
- Compliance operationalization
Week 12
Capstone Presentation
- Your AI strategy proposal
- Peer and instructor review
- Executive-level presentation
- Feedback and refinement
- Alumni community access
What You Will Learn
The Twelve-Week Curriculum
The curriculum is organized around four arcs that build progressively from foundational understanding to strategic application. Sessions blend instruction, case study analysis, structured discussion, and practical exercises. No coding is required.
The first arc establishes the working understanding of generative AI that everything else builds on. The goal is not to make learners into technical experts — it is to give them the mental models that allow them to read AI news critically, evaluate vendor claims, and participate in technical discussions with credibility.
Topics include what generative AI actually is, how large language models work in plain language, the model landscape (GPT, Claude, Gemini, open-weight families), the broader generative AI ecosystem, what these tools cannot do well (hallucination, reasoning limits, context boundaries), and a framework for tracking a rapidly changing field without being overwhelmed by it.
You will Explore
LLM Mental Models
Model Families & Strengths
The AI Ecosystem
Reading AI News Critically
The second arc covers prompt design at a level appropriate for business professionals — the practical skill needed to get reliable, high-quality output from generative AI tools for real business tasks. Topics include the anatomy of an effective business prompt (context, role, task, format, constraints), role and persona prompting, working with structured output, iterative refinement, and domain-specific prompting patterns for marketing, sales, HR, finance, legal, operations, and customer service.
By the end of the arc, every learner has a working personal prompt library for their function, with at least ten validated prompts they can apply to their actual work.
You will Explore
Business Prompt Anatomy
Domain-Specific Patterns
Iterative Refinement
Personal Prompt Libraries
The third arc moves from individual productivity to organizational strategy — the topics that matter most to managers and senior contributors evaluating, proposing, or leading AI initiatives. Topics include AI strategy frameworks; identifying high-value use cases; building the business case; AI vendor evaluation; ROI measurement (what is genuinely measurable, what is not); the build-versus-buy-versus-integrate decision; and change management for AI adoption.
The arc ends with a structured exercise: learners build a complete strategic proposal for an AI initiative in their own organization, with peer and instructor feedback.
You will Explore
Use Case Frameworks
Business Case Building
Vendor Evaluation
Change Management
The final arc covers the responsible AI topics that have become central to leadership conversations. Topics include AI bias and fairness in practice; the EU AI Act at the depth working compliance requires; the US regulatory landscape (federal executive orders, NIST, sector-specific regulation, state-level legislation); privacy and data protection; intellectual property considerations; responsible AI frameworks (NIST AI RMF, ISO 42001); AI governance structures; and generative AI–specific governance patterns.
Bias & Fairness in Practice
EU AI Act Deep Dive
NIST AI RMF & ISO 42001
AI Governance Structures
Guest speakers from policy, legal, and industry backgrounds join sessions throughout this arc. The final session is a capstone presentation where each learner presents their AI strategy proposal with its full responsible-AI plan.
Capstone Project
Strategize • Govern • Present
A complete AI strategy proposal for your organization — target use case, business case, vendor evaluation, ROI framework, and responsible-AI plan. Presented in the final session with peer and instructor feedback.
By the end of twelve weeks, you'll lead AI conversations in your organization with genuine credibility — strategy, ROI, and governance.
REAL-WORLD PROJECTS
Personal Prompt Library
A working library of 10+ validated prompts for your function.
AI Use Case Assessment
A structured evaluation of a real AI opportunity in your organization.
Vendor Evaluation Matrix
Applied vendor evaluation on real AI platforms.
AI Strategy Proposal
A complete business case with ROI framework.
Responsible AI Plan
The governance and compliance plan for your proposed initiative.
Course Format and Delivery
The course is delivered fully online through live, instructor-led sessions taught by AI practitioners with substantial business and strategy backgrounds.
01
Schedule
Four live sessions per week over twelve weeks, in evening and weekend slots that work for working professionals across US time zones.
- Each session runs approximately 75 minutes.
02
Case-Study Driven
The curriculum is anchored in real business cases — successful and unsuccessful AI initiatives, vendor decisions, governance moves.
- Build judgment, not just familiarity.
03
Guest Practitioners
Guest speakers from legal, compliance, and policy backgrounds join sessions for direct working perspective.
- Learn from those doing the work.
04
Cohort Discussion
Senior professionals from different industries comparing notes on how they apply the same frameworks in different contexts.
- Peer learning at the executive level.
05
No Coding Required
Absolute statement, not a hedge. No coding is taught, no coding is required at any point.
- Zero technical prerequisites.
Prerequisites And Technical Requirements
There are no technical prerequisites. Learners need:
Professional experience — the course is paced for working professionals
Comfort with basic technology (browser, email, productivity software)
A laptop and stable internet for video sessions
Willingness to spend 3–5 hours per week on reading, exercises, and capstone
Why Generative AI Skills Matter For Leaders
Why Generative AI Skills Matter For Leaders
For managers, directors, and executives, generative AI fluency has become a credibility threshold. Leaders who cannot speak intelligently about AI are increasingly routed around in conversations that shape strategic direction. This course closes that gap deliberately.
Emerging Roles for Senior Professionals.
Roles like AI strategy lead, AI program manager, AI governance lead, head of responsible AI, and chief AI officer command strong compensation and did not exist as named positions five years ago. Senior professionals with the right structured education are well-positioned to move into them.
More Common Impact: Expanded Scope.
For most learners, the impact is not a new role title but a step-change in influence within their existing role. Being the leader who can navigate AI conversations credibly translates to expanded scope, executive visibility, and stronger position in advancement discussions.
Learn From Industry Leaders
Michael Anderson
Lead Instructor — AI & Cloud
- AWS Certified
- 10+ Years Industry Experience
- Published AI Researcher
Senior AI engineer with extensive experience designing machine learning platforms and deploying enterprise AI solutions.
David Miller
Cloud & MLOps Instructor
- Cloud Architect
- Google Cloud Certified
- Enterprise MLOps Specialist
Cloud Architect specializing in scalable AI infrastructure, MLOps automation, and multi-cloud deployments for enterprise.
INDUSTRY RECOGNIZED CERTIFICATE
Receive an industry-recognized certificate after successful course completion.
- Industry Recognized
- LinkedIn Shareable
- Verifiable Certificate
- Executive-Ready
Career Impact
What Our Learners Say
The AI for Data Analytics course gave me the exact tools needed to interpret complex data streams quickly. The practical framework for integrating modern AI directly into existing analytical workflows was immediately applicable.
The multi-agent simulations in the Advanced Python for LLM & Multi Agent Systems course completely transformed our engineering team's approach to complex system design. Exceptional depth and real-world utility.
Enrolling our product team in Agentic AI & Multi Agent Autonomous Systems provided the strategic edge we were missing. The hands-on project structures made deploying autonomous agents far more straightforward.
After taking NLP with LLMs, I was able to fine-tune and deploy a custom retrieval-augmented model in weeks. The instructors cover production-grade deployment strategies that you rarely find in standard online courses.
The Executive Diploma in Deep AI & Cloud Intelligence offered a clear, high-level strategic overview without glossing over technical rigor. It helped our leadership team align our enterprise cloud architecture with modern AI solutions.
Bridging the gap between prototype models and production infrastructure can be tough, but MLOps & AI in Production laid out the best practices clearly. Highly recommended for any engineering group scaling AI services.
Ready To Lead AI Conversations?
Join a cohort of managers, analysts, and executives building genuine AI fluency.
Frequently Asked Questions
Yes, and this is the design point. Curriculum built for non-technical professionals with concepts taught in plain language and no programming at any point. Past cohorts have included professionals from law, finance, HR, marketing, operations, healthcare, and consulting.
Different audiences. AI Utility Tools is for professionals wanting hands-on daily AI fluency with prompt engineering as the primary depth. This course is for managers, analysts, and senior contributors needing strategic understanding, ROI frameworks, and governance literacy alongside prompt basics.
Yes. The prompt design arc (Weeks 4–6) is hands-on with major generative AI tools, and learners build a working personal prompt library. The course is not exclusively strategic — it includes substantial practical skill building.
Yes. Group pricing at 10+ seats. Private cohorts available for larger enrollments. This is one of the most common patterns at the manager-and-above level.
Yes. The course discusses major foundation model providers and enterprise AI platforms. Balanced rather than promotional — the goal is to give learners the frameworks to make their own decisions.
The course is calibrated for senior professionals throughout, with substantial strategic and governance content directly relevant at the executive level. Many enrollments come from VPs, SVPs, and C-suite leaders.
Strategic and governance frameworks are stable enough to teach reliably. Specific tools, vendors, and regulatory details are updated each cohort.
The Python for AI & Data Science course is the entry point. Many learners do not need it — generative AI strategy and governance is a complete professional specialization without coding — but the path is available.
Start Leading AI Conversations!
Group pricing for corporate teams. Private cohorts available.
- Live Executive Cohort
- Case-Study Driven
- Guest Practitioners
- Group Pricing Available