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Before the training, AI in analytics felt overwhelming. Now I confidently use Copilot, Power BI and Azure OpenAI to automate reporting, generate high-impact visualisations and derive actionable insights in minutes instead of hours.
The modules were full of real use cases that I now apply daily - from automated data cleaning to natural language queries and AI-powered dashboards. It’s the most practical data analytics course I’ve taken.
Earning the Microsoft-aligned certificate has boosted my confidence and credibility when presenting data to stakeholders. I’m now considered the go-to person for AI-driven analysis in my organisation.
This training helped me move beyond traditional BI reporting to true AI-augmented analytics. The AI automation and data governance skills I learnt are already improving our decision-making processes. Thank you.
Standout features of GenAI Mastery Program:
Modern Analytics Principles with AI (Module 1):
AI-Powered Analytics with Microsoft Power BI (Module 2):
Data Governance with AI (Module 3):
Text Analytics with GenAI (Module 4):
AI-driven data insights for every analyst and data scientist. Whether you are exploring or upskilling, AI makes working with data easier, faster, and more impactful.
Data Analyst:
Business Analyst:
BI Developer:
BI Developer:
Upon completion, participants receive a Joint Certificate from us and Microsoft recognized by NSDC.
Start learning today!
2 Months Course (Self Paced Study).
Joint certification by Microsoft.
Masterclasses by Microsoft experts.
Earning the Generative AI Certification for Data Analysts (Microsoft) equips data professionals with the cutting-edge skills needed to leverage generative AI tools - such as Microsoft Copilot and advanced AI-driven analytics - to automate repetitive tasks, generate insights, accelerate data exploration and enhance reporting workflows. As data environments become more complex and expectations grow for faster, more accurate decision-making, this certification helps you stand out by demonstrating practical proficiency in applying AI to solve real-world analytical problems. It bridges traditional data analysis with modern AI-powered capabilities, boosting your ability to transform raw data into high-impact insights that influence strategic business outcomes. This combination of foundational analytics and AI fluency is increasingly valued across industries including tech, finance, healthcare and retail.
In the U.S. job market, developing generative AI and AI-augmented analytics skills can meaningfully enhance your earning potential. Data analysts without specialised AI skills typically earn between $60,000 and $110,000 annually, with senior or lead roles sometimes exceeding this range depending on industry and location. By contrast, data professionals who combine traditional analytics expertise with generative AI capabilities — effectively moving toward AI data analyst or AI-augmented analytics roles - often position themselves for higher compensation, accelerated career progression and stronger negotiating leverage. For example, specialized AI analyst and AI data analyst roles can command salaries ranging from $85,000 to over $120,000, reflecting the premium employers place on talent that can both understand data deeply and apply AI to extract more value from it. Moreover, because AI skills are in high demand across the tech sector, employers are increasingly offering salary premiums and bonuses for AI-competent analytics professionals, making this certification not just a credential but a strategic investment in both skills and marketability.




















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