Product Development using AI Framework

This module focuses on end-to-end product development using AI agents—starting from technical research and PRD writing to deploying real-world AI-powered applications like blogging agents, sales tools, storybook generators, and content automation systems. It emphasizes both planning and implementation, leveraging frameworks like LangChain, Pydantic Agents, and Relevance AI for building scalable, automated products.

Day 1-15:

• Summary report for the following training material (Phase 1)
  • https://www.youtube.com/playlist?list=PLZoTAELRMXVMBr14UQ30AFlnlQ7eL5wjl
  • https://python.langchain.com/docs/introduction/

Deliverables

• Summary report of the techniques, tutorial code with proper functioning, blog for publication, video demo (optional but recommended)

Day 16-30:

• Summary report for the following training material (Phase 2)
  • https://ai.pydantic.dev/agents/
  • https://www.crewai.com/open-source

Deliverables

• Summary report of the techniques, tutorial code with proper functioning, blog for publication, video demo (optional but recommended)

Day 31-45:

• Detailed feature report and PRD (Product Requirements Document) for the following products (A developer should be able to code the product by reading your docs, we won’t actually code it yet, but the details should be extremely fine-grained) (Phase 1)
  • https://relevanceai.com
  • https://zapier.com
  • https://www.make.com
  • https://n8n.io

Deliverables

• Extremely detailed feature report Proper PRD

Day 46-60:

• Detailed feature report and PRD (Product Requirements Document) for the following products (A developer should be able to code the product by reading your docs, we won’t actually code it yet, but the details should be extremely fine-grained) (Phase 2)
  • https://relevanceai.com
  • https://zapier.com
  • https://www.make.com
  • https://n8n.io

Deliverables

• Extremely detailed feature report Proper PRD

Day 61-75:

• Summary report for the following training material (Phase 3) (NOTE: No coding to be done in this one, it will be done after the coverage of relevant material)
  • https://www.youtube.com/watch?v=P-lj0vfF1Bo
  • https://www.youtube.com/watch?v=Lj5fyDX01v8
  • https://www.youtube.com/watch?v=sipQIJDIddg
  • https://www.youtube.com/watch?v=0Ad73-yaV-k
  • https://www.youtube.com/watch?v=LWrZwwe50TM
  • https://www.youtube.com/watch?v=2rKcHXGOJCs&t=25s

Deliverables

• Summary report of the techniques, blog for publication

Day 76-90:

• Summary report for the following training material (Phase 4) (NOTE: No coding to be done in this one, it will be done after the coverage of relevant material)
  • https://www.youtube.com/watch?v=P-lj0vfF1Bo
  • https://www.youtube.com/watch?v=Lj5fyDX01v8
  • https://www.youtube.com/watch?v=sipQIJDIddg
  • https://www.youtube.com/watch?v=0Ad73-yaV-k
  • https://www.youtube.com/watch?v=LWrZwwe50TM
  • https://www.youtube.com/watch?v=2rKcHXGOJCs&t=25s

Deliverables

• Summary report of the techniques, blog for publication

Day 91-105:

• Implementation of actual agents learned from Ben AI modules using Prodigal internal tools. (Phase 1)

Deliverables

• Deployment of Automated Blogging/Newsletter Agent
  • Scrape from Meta, Microsoft, HuggingFace, papers with no code, and publish an alert on linked in about their latest research along with summary

Day 106-120:

• Implementation of actual agents learned from Ben AI modules using Prodigal internal tools. (Phase 2)

Deliverables

• Deployment of Automated Sales & Proposal Agent

Day 121-135:

• Deployment of Animated Children Story Book Generator Model (Phase 1)

Deliverables

• Summary report of the techniques, tutorial code with proper functioning, blog for publication, video demo (optional but recommended)
• Final PDF output for the generated story book

Day 136-150:

• Deployment of Animated Children Story Book Generator Model (Phase 2)

Deliverables

• Summary report of the techniques, tutorial code with proper functioning, blog for publication, video demo (optional but recommended)
• Refined outputs, create proper story series with part 1, part 2 and character seeding to maintain consistency across the generated book and also across the series

Day 151-165:

• Deployment of Instagram Reel Generator and Youtube Shorts Agent to generate actual production content (Part 1)

Deliverables

• Summary report of the techniques, tutorial code with proper functioning, blog for publication, video demo (optional but recommended)

Day 166-180:

• Deployment of Instagram Reel Generator and Youtube Shorts Agent to generate actual production content (Part 2)

Deliverables

• Summary report of the techniques, tutorial code with proper functioning, blog for publication, video demo (optional but recommended)
• Actual automated content posting and analytics along with Feedback

Tech Stack

• Python
• LangChain
• Pydantic AI Agents
• Relevance AI
• Automation using Zapier & make.com
• Hugging Face
• Text based LLMs
• Multi Modal LLMs
• Streamlit
• Gradle
• MLops for complete LLM deployment and API inference on local and cloud systems
• Ubuntu shell commands
• Docker