Key Highlights
Duration
6 Months
Weeks
24
Method
Full time
Fees
Affordable + EMI Options
Our career counsellor will guide you
Advanced Course in AI Implementation
The Advanced Course in AI Implementation is a 6-month practical program focused on implementing generative AI, automation, data, business intelligence, AI agents, and knowledge-grounded assistants in real-world environments.
Learners progress from generative AI foundations, prompting, research, Excel, Power Query, Power BI, DAX, and multimodal AI to functional AI labs, n8n automation, AI agents, RAG-based assistants, governance, and evaluation.
The advanced phase covers production workflows using APIs, JSON, webhooks, WhatsApp Business API, Zoho, Airtable, Glide, SQL, experimentation, agentic workflows, AI product management, vendor evaluation, and AI cost modelling.
The final month includes an 8-week paid or sponsored engagement with an MSME, NGO, school, or internal department, along with governance documentation and an employability sprint focused on portfolio development, case studies, interviews, and salary negotiation.
What Will You Learn in the Advanced Course in AI Implementation?
- Generative AI foundations, prompting, context design, research, and hallucination detection
- Excel, Power Query, Power BI, DAX, data analysis, and data storytelling
- Multimodal AI and functional AI applications across business functions
- No-code automation with n8n, including sub-workflows, retries, queues, logging, and versioning
- AI agent design, planning, tool use, memory, guardrails, and evaluation
- RAG-based knowledge assistants with retrieval, citations, access control, and grounding
- JSON, webhooks, and API literacy for non-programmers
- WhatsApp Business API, Zoho CRM automation, Airtable, and Glide
- SQL for querying live business datasets
- A/B testing, cohort analysis, and attribution concepts
- AI product management, user research, adoption metrics, and requirement documents
- Vendor evaluation, buy-versus-build decisions, AI unit economics, and cost modelling
- AI governance, consent, risk management, data-flow documentation, and incident planning
- Real-world implementation, user training, measurement, handover, portfolio development, and interview preparation
Course Structure
Month 1
- Generative AI foundations: models, tokens, context, hallucination, the AI ecosystem
- Prompt, context and instruction design; failure analysis; reusable playbooks
- AI research and knowledge work: cross-verification; hallucination detection
- Data foundations: Excel, Power Query, clean data structures
- Business intelligence: Power BI data models, DAX basics, interactive dashboards
- Data analysis with AI: segmentation, outliers, correlation versus causation, data storytelling
- Multimodal AI and content production: text, image, presentation, audio, video
Month 2
- Functional AI labs: marketing, sales, HR, finance, operations, customer service
- No-code automation build in n8n: triggers, branches, variables, webhooks, error handling, logging, human approval
- AI agents build: goals, tools, memory, planning, guardrails, evaluation
- Knowledge-grounded assistants: RAG in plain language, document sets, retrieval, citations, access control, hallucination reduction
- AI governance and evaluation: DPDP Act 2023, consent, IP, bias, deepfakes; evaluation rubrics; human-in-the-loop design
- Capstone build with a named real client
- Capstone measurement, documentation, demonstration; portfolio and placement sprint
Month 3
- n8n at depth: sub-workflows, error handling, retries, rate limits, queues, logging, versioning
- JSON, webhooks and API literacy for non-programmers
- WhatsApp Business API: template approval, opt-in compliance, broadcast rules, chatbot handoff
- CRM automation in Zoho: lead scoring, routing, SLA alerts, pipeline hygiene
- Airtable as an operational backend: relational design, views, permissions, automations
Month 4
- Production-grade knowledge assistants: chunking, retrieval quality, citation grounding, refresh cycles
- Evaluation harnesses: answer accuracy scoring, refusal behaviour, red-teaming your own assistant
- Conversation design: intents, flows, tone, fallbacks, escalation, multilingual handling in Hindi and Marathi
- Building a user-facing app or portal in Glide with authentication and permissions
Month 5
- SQL for questions, not engineering: querying a live business dataset
- Experimentation: A/B tests, cohort reading, attribution caveats
- Agentic workflows: task decomposition, tool use, guardrails, cost and latency awareness
- AI product management: problem framing, requirement documents, user research, adoption metrics
- Vendor evaluation, buy-versus-build, unit economics of AI, token and seat cost modelling, procurement basics
Month 6
- 8-week paid or sponsored engagement with an MSME, NGO, school or internal department
- Discovery -> process map -> build -> user training -> measurement -> handover documentation
- Governance pack: risk register, data-flow diagram, consent basis, approval checkpoints, incident playbook
- Employability sprint: portfolio site, three case studies, mock interviews, salary negotiation
Tools / Skills
Generative AI tools
Microsoft Excel
Power Query
Power BI
WhatsApp Business API
Zoho
Airtable
Glide
DAX
n8n
AI agent tools
RAG tools
SQL
JSON
