Key Highlights
Duration
3 Months
Weeks
12
Method
Full time
Fees
Affordable + EMI Options
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Expert Course in GenAI, Automation & AI Agents
The Expert Course in GenAI, Automation & AI Agents is an advanced 3-month program designed to build practical expertise in generative AI, data analysis, business intelligence, automation, and AI agents. The course combines AI concepts with hands-on applications to help learners solve real-world business and workflow challenges.
Learners develop advanced skills in prompt and context design, AI-powered research, Excel, Power Query, Power BI, DAX, multimodal AI, and functional AI applications across marketing, sales, HR, finance, operations, and customer service.
The program also introduces no-code automation using n8n, AI agent development, and knowledge-grounded assistants using RAG. Learners explore responsible AI, governance, evaluation, hallucination reduction, access control, and human-in-the-loop design.
By the end of the course, learners will be able to design, automate, evaluate, and present practical AI-enabled solutions. A capstone project with a named real client, documentation, demonstration, and portfolio sprint provides hands-on experience in applying the complete learning journey.
What Will You Learn in the Expert Course in GenAI, Automation & AI Agents?
- Generative AI foundations, models, tokens, context, hallucination, and the AI ecosystem
- Advanced prompt, context, and instruction design
- AI-powered research, cross-verification, and hallucination detection
- Data foundations using Excel, Power Query, and clean data structures
- Business intelligence with Power BI, DAX basics, and interactive dashboards
- AI-assisted data analysis, segmentation, outliers, correlation, and data storytelling
- Multimodal AI for text, image, presentation, audio, and video
- Functional AI applications across marketing, sales, HR, finance, operations, and customer service
- No-code automation using n8n, triggers, branches, variables, webhooks, logging, and human approval
- Building AI agents with goals, tools, memory, planning, guardrails, and evaluation
- Creating knowledge-grounded assistants using RAG, retrieval, citations, and access control
- Responsible AI, governance, DPDP Act 2023, consent, IP, bias, deepfakes, and evaluation
- Building and presenting an AI solution for a real client
- Capstone measurement, documentation, demonstration, portfolio, and placement preparation
Course Structure
| No. | Module | Hours |
|---|---|---|
| 1 | Generative AI foundations: models, tokens, context, hallucination, the AI ecosystem | 8 |
| 2 | Prompt, context and instruction design; failure analysis; reusable playbooks | 10 |
| 3 | AI research and knowledge work; cross-verification; hallucination detection | 10 |
| 4 | Data foundations: Excel, Power Query, clean data structures | 10 |
| 5 | Business intelligence: Power BI data models, DAX basics, interactive dashboards | 12 |
| 6 | Data analysis with AI; segmentation, outliers, correlation versus causation, data storytelling | 10 |
| 7 | Multimodal AI and content production: text, image, presentation, audio, video | 10 |
| 8 | Functional AI labs: marketing, sales, HR, finance, operations, customer service | 10 |
| 9 | No-code automation build in n8n: triggers, branches, variables, webhooks, error handling, logging, human approval | 12 |
| 10 | AI agents build: goals, tools, memory, planning, guardrails, evaluation | 12 |
| 11 | Knowledge-grounded assistants: RAG in plain language, document sets, retrieval, citations, access control, hallucination reduction | 10 |
| 12 | AI governance and evaluation: DPDP Act 2023, consent, IP, bias, deepfakes; evaluation rubrics; human-in-the-loop design | 10 |
| 13 | Capstone build with a named real client | 10 |
| 14 | Capstone measurement, documentation, demonstration; portfolio and placement sprint | 6 |
Tools / Skills
Generative AI tools
Microsoft Excel
Power Query
Power BI
DAX
n8n
AI agent tools
