Become a Production-Ready AI Application Developer
Master LLMs, Python, LangChain, RAG, and AI Agents with live mentorship by Mehul Prajapati. Build real-world production systems and transition into high-paying AI roles.
What You Will Learn?
A comprehensive curriculum designed to take you from foundational data skills to advanced Generative AI engineering.
What Is a GenAI App Developer?
A GenAI App Developer is a professional who builds applications by integrating Large Language Models (LLMs) like GPT-4, Llama 3, or Claude into software products.
Unlike traditional developers, they focus on orchestrating AI reasoning, managing context, and ensuring reliable outputs via techniques like RAG (Retrieval-Augmented Generation).
- Building responsive web frontends
- Integrating AI APIs (OpenAI, Anthropic)
- Designing RAG pipelines & knowledge bases
- Optimizing prompts for production
- Scaling AI workflows with LangChain
- Deploying full-stack AI SaaS apps
Why This Role Is Exploding in 2026?
Advanced Chatbots
Companies are moving from simple FAQ bots to autonomous AI agents that can solve customer queries, book appointments, and handle complex logic.
Content Automation
Enterprises need AI systems to generate marketing copy, product descriptions, and technical reports at scale while maintaining brand voice.
Intelligent Search
The transition from keyword-based search to Semantic Search and RAG means every knowledge-heavy industry needs AI developers.
Who Is This For?
Skills Covered in This Course
LLM API Integration
Mastering OpenAI, Anthropic, and Llama APIs for production application use cases.
Chain of Thought (CoT)
Engineering multi-step reasoning prompts for complex problem-solving AI.
Structured Output (JSON)
Designing prompts that return machine-readable data for seamless app integration.
RAG Prompting
Integrating vector search results into prompts for grounded, factual AI responses.
AI Workflows
Building stateful AI sessions and multi-turn conversational experiences.
AI Safety & Moderation
Implementing ethical guards and prompt filtering for enterprise-safe products.
Mentorship Learning Model
Live Mentorship
Direct interaction with Mehul Prajapati during weekend live sessions on Zoom.
Hands-on Projects
Work on real-world AI applications, from RAG systems to multi-agent production apps.
Scenario-Based Learning
Solve enterprise-level problems using specific AI case studies and workflows.
1-on-1 Feedback
Get personalized review on your code and architecture designs via Discord.
Career Coaching
Optimize your LinkedIn, resume, and portfolio for the 2026 AI job market.
Exclusive Resources
Access proprietary prompt libraries, deployment scripts, and project templates.
Tools & Technologies You Will Master
Job Roles After Completing
Salary Potential in AI Careers (India)
Detailed Course Curriculum
A structured, permanently visible syllabus designed to build your skills step-by-step. We believe in transparency—no hidden content.
Python & Data Foundation
- Python for AI & Data Structures
- Numpy & Pandas for Data Manipulation
- Data Cleaning & Transformation Techniques
Machine Learning Core
- Supervised & Unsupervised Learning Concepts
- Regression & Classification Algorithms
- Model Evaluation & Hyperparameter Tuning
Generative AI & LLMs
- Introduction to GenAI & Transformer Architecture
- Large Language Models: GPT, Llama, Claude
- Tokenization, Latent Space & Model Reasoning
- OpenAI API & Anthropic SDK Integration
Prompt Engineering
- Advanced Prompting: Zero-shot & Few-shot
- Chain of Thought (CoT) & Reasoning Loops
- Structured Output Design (JSON/Function Calling)
- Prompt Versioning & Evaluation Pipelines
RAG & Vector Databases
- Retrieval-Augmented Generation (RAG) Architectures
- Embeddings & Semantic Similarity Search
- Vector Stores: Pinecone, ChromaDB, Weaviate
- Advanced Retrieval: Hybrid Search & Re-ranking
AI Agents & Workflows
- Building Agents with LangChain & LlamaIndex
- Autonomous Agents & Tool-Use Patterns
- Agent Loops: ReAct, Plan-and-Solve
- State Management in AI Conversational Flows
AI Deployment & SaaS
- FastAPI & AI Backend Architecture
- React x AI Integration (Frontend Streaming)
- Deployment: AWS, Azure & AI Observability
- Scaling & Monitoring AI Production Systems
Course Logistics
Build Your AI Career
Don't wait for the AI revolution to replace your skills. Lead it by becoming an AI Application Developer.