MS-Excel
Power BI
Python
SQL
Claude AI
Gemini
ChatGPT
n8n
Our Data Analytics with Agentic AI training combines traditional data analytics with the latest AI agent technologies. Learners first build a foundation in working with data, creating dashboards, writing queries, and using Generative AI for analysis. They then learn to create AI agents that can read spreadsheets, answer business questions, prepare reports, and connect with other applications.
The programme uses visual, no-code tools for building agents, making it accessible to learners without a programming background. Practical assignments, weekly mini-projects, and a capstone help learners understand how these solutions can be used in real business situations.
Skills You Will Develop During the Training Programme
The curriculum moves from data analytics fundamentals to AI-powered reporting and automation. Learners progress through the following areas:
1. Data Analytics Fundamentals: Understand different types of analytics, business metrics, data sources, and the role of data in decision-making.
2. Excel and Advanced Excel: Work with formulas, PivotTables, Power Query, data analysis, dashboards, and advanced visualisation techniques.
3. Power BI: Learn data importing, transformation, modelling, DAX, dashboard creation, and sharing business insights.
4. Python for Data Analytics: Explore Python fundamentals, NumPy, Pandas, data cleaning, exploratory data analysis, statistics, and visualisation with Matplotlib and Seaborn.
5. SQL for Data Analysis: Practise database queries, filtering, joins, aggregate functions, subqueries, common table expressions, and window functions.
6. Generative AI for Analytics: Use prompt engineering and AI assistance for data cleaning, exploratory analysis, visualisation, reporting, and spreadsheet workflows.
7. Agentic AI and Automation: Understand how AI agents work, build custom assistants, connect applications with n8n, use tools and memory, and create automated reporting workflows.
8. Safe AI Agent Development: Learn about testing, human approval, responsible AI use, data protection, and publishing agents through chat-based interfaces.
The programme concludes with a capstone project where learners design, build, test, and present an end-to-end analytics agent.
Software and AI Tools You Will Explore
Brillica Services introduces learners to tools used for data analysis, reporting, AI assistance, and workflow automation. The main focus is on applying these tools to practical tasks rather than learning software features in isolation.
Excel and Google Sheets: Organise, clean, analyse, and manage data.
Power BI: Create interactive dashboards and present business insights.
Python, NumPy and Pandas: Work with datasets and perform data analysis.
SQL: Retrieve and analyse information stored in databases.
ChatGPT, Claude and Gemini: Explore AI assistants, prompting, research, and data-related tasks.
n8n: Build no-code workflows and AI agents by connecting visual components.
NotebookLM: Learn document-based question answering and knowledge retrieval.
Google Forms, Gmail and Telegram: Connect inputs, reports, notifications, and conversational interfaces.
Supabase and APIs: Explore database connections and data exchange between applications.
Other tools, including Make, Zapier, Slack, and Microsoft Copilot Studio, may be introduced through demonstrations or comparisons. Tool availability and individual features can depend on the platform's current access and plan.
Why Build Your Skills with Brillica Services?
Brillica Services focuses on practical learning that connects classroom knowledge with workplace tasks. The Data Analytics with Agentic AI programme includes instructor-led sessions, live demonstrations, hands-on labs, weekly mini-builds, and a final capstone project.
Learners practise creating dashboards, building AI assistants, connecting applications, and automating reports. They also receive project feedback and guidance on presenting their work through a professional portfolio. Career preparation includes resume and portfolio development, mock interviews, soft-skills sessions, and placement support. The programme is designed to help learners explain their skills and demonstrate working projects to potential employers.
How Long Does the Data Analytics with Agentic AI Course Take?
The Data Analytics with Agentic AI course duration is 10 months. This instructor-led programme combines structured learning with practical exercises, demonstrations, and project work.
Learners begin with data analytics fundamentals before progressing to AI agents, workflow automation, and the final capstone. The step-by-step structure helps learners develop their skills gradually. For the latest batch start date, class timings, and available learning format, contact Brillica Services.
Course Fees and Enrolment Information
The Data Analytics with Agentic AI course fees range from ₹50,000 to ₹80,000, depending on the programme details and applicable fee structure. Contact Brillica Services to confirm the current fee, available payment options, and any applicable offers before enrolling.
The course covers structured training, practical labs, AI agent development, and capstone project work. The curriculum also identifies free-tier options for many of the tools used during training, so learners do not necessarily need to purchase separate subscriptions. Some platform features may have their own usage limits or paid plans.
Who Should Consider Learning Data Analytics with Agentic AI?
This course is suitable for learners who want to combine data analysis with AI-powered business automation.
Graduates from commerce, arts, science, engineering, or management backgrounds.
Final-year undergraduate and postgraduate students.
Working professionals in sales, finance, HR, marketing, and operations.
Beginners interested in data analytics and practical AI applications.
Existing data analysts who want to explore AI agents and automated reporting.
MIS and reporting professionals looking to improve repetitive reporting workflows.
Business professionals who want to use data and AI tools to support better decisions.
Whether you are starting your career or building new skills alongside your current role, the programme offers a structured learning path.
Entry Requirements for the Data Analytics and AI Course
Learners should be comfortable using a computer, browsing the internet, managing files, and working with basic numbers. Familiarity with Excel or Google Sheets is recommended, including simple formulas such as SUM, AVERAGE, and COUNT, along with sorting and filtering.
No prior coding, AI, or machine learning experience is required to begin the programme. The Agentic AI modules focus on no-code tools, while the data analytics foundation introduces Python and SQL as part of the curriculum. A technical degree is not compulsory. Brillica Services may use a short entry assessment covering basic Excel and numeracy to help learners start at a suitable level.
Career Paths After Completing the Programme
The Data Analytics with Agentic AI Course can help learners prepare for roles that combine reporting, data interpretation, business operations, and AI-assisted workflows. Career opportunities depend on individual skills, project experience, qualifications, and employer requirements.
Possible career paths include:
Data Analyst with AI Skills: Analyse datasets, prepare reports, and use AI to support business insights.
AI Automation Analyst: Create workflows that reduce repetitive manual tasks.
Business Analyst: Study business requirements, review performance data, and support decision-making.
MIS or Reporting Analyst: Prepare dashboards, recurring reports, and performance summaries.
AI Operations Executive: Support AI-enabled business processes and workflow management.
Building a portfolio of working projects can help demonstrate your practical abilities during interviews. Advanced AI engineering roles may require additional programming and technical training beyond this no-code-focused programme.
Practical Projects You Can Build During Training
Hands-on work helps learners apply their knowledge to business problems. The curriculum includes weekly mini-builds and a final capstone, with projects such as:
Automated MIS Report Agent: Collect data, identify unusual values, prepare a summary, and send it for approval before delivery.
Talk-to-Your-Data Agent: Ask business questions in simple language and receive answers from a connected dataset.
Customer Feedback Analysis Agent: Classify reviews or survey responses, track trends, and generate alerts.
AI-Powered Sales Reporting: Analyse sales data and prepare regular KPI summaries.
Document Question-Answering Assistant: Answer questions from selected business documents with source references.
Market Research Agent Team: Research competitors, collect relevant information, and prepare a structured report.
The capstone involves defining a business problem, designing an agent, building and testing it, recording test results, and presenting its value through a live demonstration.
Career Guidance and Placement Assistance at Brillica Services
Brillica Services provides placement assistance to help learners prepare for relevant job opportunities. Support includes resume and portfolio building, mock interviews, soft-skills training, career guidance, and interview opportunities through hiring partners.
Learners can use their course projects to demonstrate practical skills during recruitment. The placement team also supports interview coordination and career preparation. Placement outcomes depend on individual performance, skills, employer requirements, and available openings; placement assistance does not mean a guaranteed job offer.
Start Your Data Analytics with Agentic AI Journey at Brillica Services
Build practical skills in data analytics, Generative AI, and no-code automation through a structured 10-month programme. Learn to create dashboards, develop AI agents, and automate business reporting with hands-on projects and career support.
Contact Brillica Services (Phone: +91 8882140688) today to enquire about the syllabus, current course fees, upcoming batches, and placement assistance.
