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Generative AI & Automation Mastery — 3-Month Program

This 12-week hands-on program transforms beginners into confident AI & automation professionals.
Learners master Python, Generative AI tools, workflow automation, and Agentic AI through guided weekend sessions, real-world mini-projects, and one major capstone.

Graduates finish with a professional portfolio, freelance pitching skills, and placement support across Delhi / NCR.

Why this Program works ?

 

  • Learn by building weekly mini-projects + one end-to-end capstone
  • Mentorship every weekend from industry experts
  • Focus on practical tools and business use cases, not just theory
  • Portfolio review and career guidance built in

// Establish strong Python fundamentals and understand core AI concepts.

• Variables, loops, conditionals, functions • Data structures — lists, dictionaries, arrays, sets • File I/O and JSON handling for AI workflows • Error handling and debugging best practices • Libraries for AI & automation: NumPy, Pandas, Matplotlib • Introduction to AI and Generative AI ecosystem • Hands-on with ChatGPT, DALL·E, GitHub Copilot Mini-Project: Automate Excel/CSV report tasks using Python Outcome: Confidence in Python and ability to build simple automations.

// Weeks 1–2

< Python & AI Foundations> |

// Learn to automate daily tasks and business processes. Topics

• Workflow automation concepts and use cases • Automating emails, reports, and spread sheets with Python • Using APIs and JSON responses for data exchange • Web scraping basics (BeautifulSoup / Requests) for automated data collection • No-code tools Zapier and Make for end-to-end automation • Security and API-key management essentials Mini-Project: Hybrid Python + no-code workflow (e.g., auto-generate and email sales reports) Outcome: Ability to design complete automation pipelines.

// Weeks 3–4

< Automation Fundamentals > |

// Combine Python with Generative AI APIs to create useful AI assistants. Topics

• OpenAI API integration with Python • Multi-step prompt engineering for reliable outputs • Token management, rate limits & API cost awareness (API Basics) • Logging and error handling for AI scripts • Real-world projects: email assistant, content generator, code helper Mini-Project: Build a personal AI assistant that handles a workflow (end-to-end) Outcome: Learners can build functional AI-powered tools and integrate them with existing systems.

// Weeks 5–6

< Generative AI & Python Integrationl > |

// Understand and implement autonomous AI workflows.

• Concepts of Agentic AI and multi-agent systems • Tools overview: LangChain, AutoGen, CrewAI • Memory and tool integration in LangChain • Designing self-running AI pipelines for business tasks • Responsible AI: safety, bias, and hallucination control Capstone Project: Design and implement an autonomous AI system solving a real business problem Outcome: Ability to design and deploy agent-based AI workflows.

// Weeks 7–9

< Agentic AI & Advanced Automation > |

// Translate skills into career and freelance readiness. Topics

• Creating and documenting projects on GitHub (Git + GitHub basics) • Resume and LinkedIn optimization for AI roles • Freelancing basics — finding clients, pricing, delivery checklists • Mock freelance simulation (project pitch + client review) • Mock interviews and placement mentoring (Delhi / NCR focus) Outcome: Professional portfolio and confidence to apply for AI jobs or freelance projects.

// Weeks 10–12

< Goal: Translate skills into career > |

//Tools and Technologies Used

Python

Open Ai API

LangChain

Autogen

CrewAI

Zapier

Make

Git

GitHub

BeautifulSoup

Pandas

NummPy

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