College Students
Build a strong AI portfolio before graduation and position yourself for high-value AI roles from day one.
Courses>Generative AI & LLMs
GenAI Engineer
Begin with Python foundations and progress through Data Science essentials, Generative AI, Large Language Models, Prompt Engineering, LangChain, Vector Databases and Retrieval Augmented Generation. Build the practical skill set of a working GenAI engineer — 14+ weeks of structured learning, 120+ hours of guided training, 15+ real-world projects, and 11 modules covering the applied GenAI stack.
Preview this course (3:24)
14+ weeks (120+ hours)
Beginner to Intermediate
Online | Live + Recorded
Created by Taksh Informatics
What you'll learn
Python for AI and Data Science
Object-Oriented Programming in Python
NumPy, Pandas and Matplotlib for data workflows
Fundamentals of Generative AI and LLMs
Working with LLM APIs (OpenAI, Gemini, Claude, Hugging Face)
Prompt Engineering (Zero/One/Few Shot, CoT, ReAct)
LangChain framework — chains, memory, retrieval
Vector Databases (FAISS, ChromaDB, Pinecone)
Retrieval Augmented Generation (RAG) systems
Cost optimization and best practices for LLM apps
Production-grade GenAI application deployment
Course Curriculum
A comprehensive curriculum designed to take you from beginner to DevOps professional
Module 1: Python Foundations
What you'll learn
- Introduction to Python
- Installing Python and IDE Setup
- Python Syntax
- Variables and Data Types
- Operators
- Input and Output
- Type Casting
- Conditional Statements
- Looping Statements
Module 2: Core Python Programming
What you'll learn
- Functions
- Strings
- Lists
- Tuples
- Sets
- Dictionaries
- List Comprehensions
- Modules and Packages
- Exception Handling
Module 3: Object-Oriented Programming in Python
What you'll learn
- Introduction to Object-Oriented Programming
- Classes and Objects
- Constructors
- Instance and Class Variables
- Instance, Class and Static Methods
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
- Magic Methods
See all 11 modules · 150 hours of content
14+
Weeks
120+
Hours
15+
Projects
11
Modules
Hands-On Projects
Apply every concept through production-style projects that simulate real workflows you will face on the job.
15+Projects
Build Production-Ready AI Applications
Move beyond theory by building practical applications throughout the program. Every module includes guided implementation, helping you gain hands-on experience with modern LLMs, RAG systems, vector databases, and AI application development.
Learn by Building
Python Development
Generative AI
Large Language Models
Prompt Engineering
LLM APIs
LangChain
RAG Systems
Vector Databases
Semantic Search
AI Applications
15+ Projects
Built across the complete Generative AI development lifecycle
Industry-Oriented
Real-world problem solving
Real-World Use Cases
Job-ready applications
Portfolio-Ready
Build projects that stand out
Guided Implementation
Step-by-step learning path
Capstone Project
End-to-end AI application
Your Journey
Your Path from Student to GenAI Engineer
A step-by-step journey to transform your skills and build a successful career in Generative AI.
- 01
Learner
Start your Generative AI journey with Python basics and core programming skills.
- 02
Python Developer
Master Python, OOPs and data handling for building AI-powered applications.
- 03
GenAI Practitioner
Understand LLMs, prompt engineering and create intelligent AI interactions.
- 04
LLM Application Developer
Integrate LLM APIs and build applications using LangChain and modern tools.
- 05
RAG Engineer
Build RAG systems using embeddings, vector databases and semantic search.
- 06
GenAI Engineer
Build production-ready GenAI applications and solve real-world business problems.
Roles this program can help you prepare for:
GenAI Engineer
LLM Application Developer
RAG Engineer
Prompt Engineer
Generative AI Developer
AI Application Developer
AI Solutions Engineer
AI Integration Engineer
Conversational AI Developer
AI Automation Developer
LLM Engineer
AI Product Engineer
This program is designed for ambitious learners
Freshers
Start your career with one of the most in-demand skill sets in the technology industry.
Working Professionals
Expand your expertise and transition into AI Engineering, Agentic AI, or LLM Application Development.
Software & Python Developers
Leverage your existing programming skills to build intelligent AI applications and autonomous agents.
QA Engineers
Learn to build AI-powered testing tools and automated workflows using LLMs and agentic systems.
DevOps Engineers
Expand from infrastructure to AI infrastructure, LLMOps, and intelligent automation pipelines.
Data Professionals
Progress from data analysis to building LLM-powered data applications and knowledge retrieval systems.
Career Switchers & AI Enthusiasts
Whether changing careers or exploring AI for the first time, this program provides a structured foundation to launch your AI journey.
College students, freshers, working professionals, software and Python developers, QA and DevOps engineers, data professionals and career switchers who want to move into GenAI Engineering or LLM Application Development.
No prior AI experience is required. The program begins with Python foundations and gradually progresses through Generative AI, LLM APIs, LangChain, Vector Databases and RAG. Basic computer familiarity is enough.
GenAI Engineer is a focused 14-week track that ends at production RAG applications. The Mastery program extends further into Agentic AI — LangGraph, AI Agents, MCP and Multi-Agent Systems — over a longer 22+ week schedule.
Python, NumPy, Pandas, Matplotlib, OpenAI, Google Gemini, Anthropic Claude, Hugging Face, LangChain, FAISS, ChromaDB and Pinecone — the applied GenAI engineering stack.
The program spans 14+ weeks with 120+ hours of guided learning — roughly 7-9 hours per week between live sessions and hands-on practice on 15+ real-world projects.
Yes — every learner who completes the program receives a Certificate of Completion that can be shared on LinkedIn and included in your professional portfolio.
Ready to start your learning journey?
Join our growing community of successful graduates