AI for Business Strategy & Market Intelligence Training in Dubai
20-hour AI Energy Strategy program across 5 days
Strategic business automation using AI Agents
Expert-led 10 modules with Oil & Gas industry simulation
End-to-end market intelligence & financial AI capabilities
Flexible on-site & virtual learning options
4.85/55878 EnrolledEnrolled Learners
4.85/55878 EnrolledEnrolled Learners
Overview
What you will learn:
- Use AI tools to support market intelligence and strategic decision-making
- Analyse LPG, condensate, and broader oil & gas market dynamics
- Evaluate competitor data, trade routes, pricing, and performance
- Build NPV, IRR, pricing, and margin analysis models
- Develop private AI knowledge bases and interactive Power BI dashboards
- Apply learning through real-world simulations, dashboards, and reporting exercises
Upcoming sessions
Curriculum
1
AI landscape tailored to market intelligence
2
Understanding LLMs, agents, copilots & automation
3
AI use cases mapped to energy markets
4
Types of data: market, pricing, freight, indices, competitor
5
Use ChatGPT/Copilot to summarize daily LPG/condensate market news
6
Build an AI prompt framework for strategic analysis
1
Using ChatGPT, Copilot, and LLM agents for MI
2
Extracting insights from global price indices and shipping rates
3
AI workflows for daily and weekly market reports
4
Automating trend summaries and risk alerts
5
Generate an automated “Daily Market Snapshot”
6
Create a prompt to identify profitable export regions
1
Understanding demand/supply signals using AI
2
Using AI to analyze freight, margins, crack spreads, benchmark prices
3
Volume-price simulations and profitability patterns
4
AI modeling for destination profitability
5
AI-based ROI comparison for 3 export markets
6
Build a margin-per-MT simulation using LLMs
1
Scraping publicly available competitor data (ethical methods)
2
AI extraction of trade routes, pricing, vessel movements
3
Benchmarking competitor performance with AI
4
Identifying strategic differentiators & pricing behavior
5
AI scraping of publicly available competitor information
6
Build a “Competitor Market Positioning Dashboard”
1
Teaching AI to compute NPV, IRR & discounting models
2
Scenario analysis for pricing, freight & margin fluctuations
3
AI for break-even volumes, investment evaluations & JV analysis
4
Profitability optimization using LLMs
5
Build an AI-generated NPV/IRR model
6
Conduct a pricing sensitivity analysis using AI
1
Identifying profitable markets using AI
2
Predicting margin shifts based on indices
3
Revenue forecasting workflows
4
AI-guided pricing decisions (real examples from LPG/condensate)
5
Run a margin forecast for 3 regions
6
Build an AI agent that recommends pricing options
1
Uploading internal SNOC documents into an AI environment
2
Building a private “Business Analyst Bot”
3
Document question-answering
4
Creating query templates for finance, strategy & profitability
5
Create a private AI knowledge base
6
Build a Q\&A bot that answers financial/strategic queries
1
Using Power BI for predictive analysis
2
Integrating AI APIs with Power BI
3
Building automated dashboards for pricing, freight & competitor updates
4
Natural language insights in Power BI
5
Build a “Market Intelligence Dashboard” in Power BI
6
Set up an AI-assisted automated reporting workflow
1
Automating data collection (indices, freight, public data)
2
AI alert systems for price signals & competitor movements
3
Automated weekly/monthly reporting setups
4
Using AI agents to replicate repetitive tasks
5
Build a market data automation workflow
6
Create an auto-generated weekly MI report template
1
Participant applies all tools to a real use case
2
AI-assisted strategic recommendations for SNOC
3
Market selection model
4
Financial modeling + competitor benchmarking
5
Export strategy simulation
6
Market ranking
7
Competitor outlook
8
Pricing/margin assessment
9
Strategic recommendations
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
After completing this program, you will be able to:
1
Interpret market, pricing, freight, and competitor data using AI tools
2
Identify profitable export destinations through AI-assisted market analysis
3
Benchmark competitor movements using ethical public data extraction
4
Build and evaluate NPV, IRR, break-even, and revenue forecasting models
5
Query internal strategy and finance documents through AI systems
6
Automate dashboards, alerts, and reporting workflows with Power BI
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Overall ratings by our students
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Frequently asked questions
The AI for Business Strategy & Market Intelligence Training in Dubai is a 5-day course designed for professionals working in strategy, market intelligence, pricing, and financial decision-making in the oil and gas sector. It focuses on the practical use of AI tools rather than general theory.
Participants work with ChatGPT, Copilot, AI agents, and Power BI to support market analysis, competitor review, pricing decisions, and reporting. This course also includes a final capstone in which participants produce a Strategic Market Intelligence Report based on a real business use case.
The AI for Business Strategy & Market Intelligence Course in the UAE is best suited to professionals involved in strategy, market intelligence, pricing, competitor analysis, and financial decision-making. It suits professionals already managing commercial or analytical roles who intend to integrate AI more impactfully within their daily operations.
It is relevant for professionals working across the oil and gas sector, including areas linked to LPG, condensate, and related market activity. Those handling market tracking, profitability review, reporting, or investment evaluation will find the course closely aligned to the kind of work it covers.
Yes, this training is relevant for professionals working in the UAE, specifically those involved in business strategy, market intelligence, pricing, and financial decision-making. This course is built around practical commercial tasks rather than broad AI theory, which makes its use more workplace efficient.
It is particularly suited to professionals connected with the oil and gas sector, including work around LPG, condensate, competitor tracking, and reporting. The use of ChatGPT, Copilot, AI agents, and Power BI also reflects the tools covered in the training.
This training combines practical AI tools with commercial analysis tasks, helping professionals work more efficiently across market tracking, competitor review, pricing, reporting, and decision support. These are the tools and business tasks included:
- Use ChatGPT, Copilot, and AI agents for market intelligence work
- Track global price indices, shipping rates, and freight data
- Benchmark competitors through public data, trade routes, and pricing signals
- Build NPV, IRR, break-even, and pricing sensitivity models
- Create Power BI dashboards for market updates and reporting
- Automate recurring alerts, reports, and internal document querying workflows
Yes, the AI for Market Intelligence program in the UAE includes practical exercises throughout the course. The modules are built around applied tasks, so participants do more than study concepts. They actively engage with real business activities involving market intelligence, competitor analysis, pricing strategy, and performance reporting.
Exercises include creating market snapshots, competitor dashboards, pricing sensitivity analyses, AI-assisted NPV/IRR models, and reporting workflows. It also includes a Strategic Market Intelligence Report as the final capstone output for a real use case.
Learners Point offers this training as a focused and practice-led program that stays close to strategy and market intelligence work in the oil and gas sector. Here's why you should choose Learners Point for this program:
- Gain a 5-day structure built for applied business use
- Follow a clear 10-module path across core AI topics
- Work with ChatGPT, Copilot, AI agents, and Power BI
- Practise through market snapshots, dashboards, and pricing analysis tasks
- Build a private AI knowledge base for business document queries
- Complete a capstone report with strategic market intelligence recommendations
The capstone brings the full course together through one practical business use case, helping participants apply the tools, analysis methods, and reporting approach covered earlier. The capstone includes the following:
- Apply all course tools to a real use case
- Develop AI-assisted strategic recommendations for business decisions
- Build a market selection model for evaluation
- Combine financial modelling with competitor benchmarking
- Simulate an export strategy using course inputs
- Produce a Strategic Market Intelligence Report with market ranking, competitor outlook, pricing, and margin assessment, and recommendations
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