Class 10 — AI Innovator
Main goal: COMBINE EVERYTHING. Combine everything learned into real projects. Emphasis: AI + Real-World Problem Solving. Learning outcomes — use advanced prompting and multimodal workflows and critically evaluate AI output and its limitations; use Git and GitHub for basic version control; build an AI assistant with tool use and a knowledge base, using a basic RAG concept; combine coding, generative AI, assistants and automation into one real-world capstone project; describe how AI is used in business, marketing and data-driven decisions. Skills learned: advanced GenAI workflows, version control, RAG fundamentals, automation at scale, capstone project delivery, business AI awareness.
40 hours · ₹8,999.00
Log in to enrolM1 — Advanced Prompting and Multimodal Workflows 4 hrs
- Advanced prompting techniques built on Class 7's foundations
- Chaining tools across text, image, audio and video
- Evaluating AI output: spotting limitations, bias and errors
M2 — Python and Algorithms Refresher 4 hrs
- Review and extension of Class 8 Python: functions, lists, dictionaries
- Algorithmic thinking: search and sort, at a conceptual level
- Writing efficient, readable code
M3 — Working with APIs 4 hrs
- Calling AI and other web APIs from Python
- Reading API documentation
- Handling responses and errors
M4 — Version Control: Git and GitHub Basics 3 hrs
- What version control is and why it matters
- Basic git commands: init, add, commit, push
- Using GitHub to save and share a project
M5 — Custom AI Assistants and Tool Use 4 hrs
- Building assistants with function or tool calling
- Giving an assistant abilities beyond plain chat (lookups, calculations)
- Designing a clear task for a tool-using assistant
M6 — Knowledge Bases and Basic RAG 4 hrs
- What Retrieval-Augmented Generation (RAG) is, at a basic level
- Connecting an assistant to a knowledge base
- Why RAG reduces hallucinations compared to relying on the model alone
M7 — Automation at Scale 4 hrs
- Combining APIs with no-code tools like Zapier or Make
- Designing multi-step workflows
- Basic error handling: what happens when a step fails
M8 — AI in Business, Marketing and Branding 4 hrs
- Using AI for content, branding and marketing, at a basic exposure level
- Data-driven decision-making: using data (not guesses) to decide
- Ethical use of AI in a business context
M9 — Capstone: Design Studio 5 hrs
- Scoping a real-world problem worth solving
- Choosing which skills to combine: coding, GenAI, assistants, automation
- Planning a realistic build schedule
M10 — Capstone: Build and Present 4 hrs
- Building, testing and refining the capstone project
- Presenting a finished project clearly
- Reflecting honestly on the limitations of the AI tools used
Activity: Three-tool creative brief
Take a multi-step creative brief and produce it using a chain of at least three AI tools, then write a short evaluation of where the output fell short. Upload the finished piece and your evaluation.