Generative AI (GenAI) Certification Program for Data Analysts

In collaboration with Microsoft

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Modern Analytics Principles with AI (Module 1):

• Industry-standard analytics principles
• AI-driven data processing and workflow automation
• Generative AI for boosting productivity
• Guidelines to use AI in the data analysis and reporting pipeline



AI-Powered Analytics with Microsoft Power BI (Module 2):

• Power BI for analytics
• Data visualization in Power BI
• Reporting and dashboarding in Power BI
• DAX querying and optimization
• Automated reporting and dashboarding with Copilot
• Workflow enhancement with Copilot



Data Governance with AI (Module 3):

• Data lineage and compliance tracking
• Data cleaning and metadata management
• AI-powered workflows and scalable pipelines



Text Analytics with GenAI (Module 4):

• Text processing techniques
• Python programming for NLP
• Azure OpenAI GPT for text analytics

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:

• Automated data preparation — receive AI-generated suggestions for cleaning and transforming datasets
• Natural language querying — use conversational prompts to run complex data queries with AI assistance
• Automated pattern discovery — let AI identify correlations, trends, and anomalies in your data



Business Analyst:

• Automated data preparation — receive AI-generated suggestions for cleaning and transforming datasets
• Automated pattern discovery — let AI identify correlations, trends, and anomalies in your data
• Automated report generation — generate tailored visualisations, summaries, and insights automatically



BI Developer:

• Automated data preparation — receive AI-generated suggestions for cleaning and transforming datasets
• Optimised data modelling — get AI recommendations for relationships, hierarchies, and model structures
• Refine analytics querying — write complex data queries in natural language and use AI to transform them into suitable formulae and commands



BI Developer:

• Workflow management — review analytics processes and improve efficiency with AI insights
• Automated data governance — reinforce compliance and policies using AI-powered monitoring tools
• Insight consolidation — consolidate insights from multiple analytics workstreams into cohesive business narratives

• This course provides you with AI-powered data analytics skills using Microsoft technologies like Power BI, Copilot, and Azure OpenAI, making you 4X more efficient in data processing, visualization, storytelling, and reporting. You will gain hands-on experience in data storytelling, automation, and governance, enhancing your employability in AI-driven analytics roles.

Upon completion, participants receive a Joint Certificate from us and Microsoft recognized by NSDC.

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.

He is an experienced AI and machine learning specialist with deep expertise in generative AI technologies, including natural language processing, computer vision and AI-powered automation tools. With hands-on experience deploying AI solutions across diverse industries, he brings practical insights into leveraging GenAI for real-world business applications. Known for his clear and engaging teaching style, he simplifies complex AI concepts and guides learners through practical exercises and use cases. His training empowers professionals to harness the power of generative AI to enhance creativity, productivity and decision-making.

Standout features of GenAI Mastery Program: