Python Developerarrow_forwardGenAI Engineer
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Course
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65,000+
Students Placed
4.7★
Google Rating (3945+ Reviews)
50+
Hiring Partners
10+
Years Training
100%
Placement Support
Who Can Join?
Software Developers
Python/Java developers wanting to integrate GenAI into existing applications.
Data Scientists / ML Engineers
ML professionals looking to extend skills to LLMs and agentic frameworks.
Product Managers & Architects
Technical PMs and solution architects wanting to build GenAI-powered products.
IT Graduates
Fresh graduates aiming for an AI-first career in one of the fastest-growing fields.
Detailed Course Syllabus
Click any module to see the full topic list. First module is pre-expanded.
Skills You Will Gain
terminalTechnical Skills
PythonPrompt EngineeringOpenAI / GPT-4 APIsLangChainLlamaIndexVector Databases (Pinecone, Weaviate)RAG (Retrieval Augmented Generation)Agentic AI Frameworks (AutoGen, CrewAI)Hugging Face TransformersStreamlit / FastAPIFine-Tuning LLMsEmbeddings & Semantic Search
psychologySoft Skills
Problem DecompositionAI Ethics AwarenessCreative Prompt DesignProduct ThinkingTechnical Communication
workspace_premiumCertifications
OpenAI API Developer Certificate (Prep)Google Cloud GenAI Certificate (Prep)Velocity GenAI Practitioner Certificate
Hands-On Industry Projects
Real-world projects you build and deploy during training
chatProject 1
Custom ChatBot (RAG)
OpenAI + LangChain
PDF / website data ingestion
Pinecone vector store
Streamlit UI deployment
robot_2Project 2
Agentic AI Pipeline
AutoGen / CrewAI
Multi-agent task delegation
Web search + code execution tools
End-to-end autonomous workflow
image_searchProject 3
Multimodal AI App
GPT-4 Vision API
Image + text understanding
FastAPI backend
React frontend
tuneProject 4
Fine-Tuned LLM
Hugging Face PEFT/LoRA
Domain-specific dataset
Custom instruction tuning
Model evaluation (BLEU/ROUGE)
What You'll Achieve
1
Build production-ready GenAI applications using OpenAI, LangChain and RAG
2
Design and deploy autonomous Agentic AI workflows with CrewAI / AutoGen
3
Integrate LLMs into real business applications — chatbots, search, and automation
4
Fine-tune open-source LLMs for domain-specific tasks using Hugging Face
5
Land roles in the highest-paying AI engineering segment (₹10–30 LPA)
6
Work confidently with state-of-the-art AI APIs and frameworks
Career Outcomes & Salary
Roles our alumni are working in after completing this course
smart_toyGenAI / LLM Engineer
₹10–28 LPAhubAI Solutions Architect
₹14–32 LPApsychologyPrompt Engineer
₹6–18 LPArobot_2Agentic AI Developer
₹12–30 LPAmodel_trainingML / AI Researcher
₹12–35 LPAThe Velocity Advantage
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Students Placed
0+
Hiring Partners
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Years of Excellence
0%
Placement Rate
0+
Corporate Clients
0.7★
Google Rating
Daily Mock Interviews
Panel + HR + technical rounds
Resume Building
ATS-optimised for recruiters
LinkedIn Optimization
Profile that attracts recruiter DMs
Industry Projects
8–10 deployable projects
100% Placement Support
Until you get placed
65K+ Alumni Network
Referrals from inside top companies
AI Interview Prep
ChatGPT-powered practice sessions
Career Mentorship
1-on-1 guidance throughout
Flexible Batches
Weekday & weekend options
Our Alumni Work At
TCS
Infosys
Wipro
Accenture
Persistent Systems
Zensar Technologies
KPIT Technologies
Capgemini
Tech Mahindra
Cognizant
Mphasis
HCL Technologies
Google
Microsoft
TCS
Infosys
Wipro
Accenture
Persistent Systems
Zensar Technologies
KPIT Technologies
Capgemini
Tech Mahindra
Cognizant
Mphasis
HCL Technologies
Google
Microsoft
Student Success Stories
AD
Arjun Desai
PS
Priti Shah
Data Analystarrow_forwardLLM Solutions Engineer
Upcoming Batches
Batch Schedule — Course
Limited seats per batch · Enroll early to secure your spot
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Frequently Asked Questions
1
What is Generative AI and why should I learn it?Generative AI (GenAI) refers to AI systems that can generate text, images, code, and audio — powered by Large Language Models (LLMs) like GPT-4, Gemini, and Llama. Companies worldwide are hiring GenAI engineers urgently. This is the fastest-growing tech skill in 2025 with starting salaries of ₹10–18 LPA.
2
Do I need prior AI/ML knowledge to join this course?Basic Python knowledge is recommended. We cover LLMs, RAG, and agentic systems from a practical application perspective — you don't need a deep math/statistics background. If you're comfortable writing Python functions, you can learn Gen AI effectively.
3
What is the difference between GenAI and traditional ML?Traditional ML builds predictive models from structured data (classification, regression). GenAI uses pre-trained Large Language Models to generate human-like responses, code, images, and more. The key skill shift is from model training to prompt engineering, RAG, fine-tuning, and agentic orchestration.
4
What frameworks are covered in this course?We cover LangChain (the most popular LLM orchestration framework), LlamaIndex (for document Q&A), OpenAI/Gemini APIs, Hugging Face Transformers, AutoGen and CrewAI (for agentic AI), Pinecone/Weaviate (vector databases), and Streamlit/FastAPI for deployment.
Ready to Start Your Course Journey?
Join thousands of Velocity alumni who transformed their careers. Book a free demo today.