Become job-ready in Generative AI, Machine Learning, and AI Applications in just 6 months.









Prepare for some of the fastest-growing technology roles.
Build LLM and GenAI applications like chatbots and RAG systems.
Salary: ₹5.5 LPA to ₹15 LPA
Design and train models that learn from data at scale.
Salary: ₹8.8 LPA to ₹22.6 LPA
Build and integrate AI systems that power real products.
Salary: ₹6.6 LPA to ₹15 LPA
Deploy, monitor, and scale AI models in production.
Salary: ₹8.3 LPA to ₹22 LPA
Turn raw data into insights and predictions that drive decisions.
Salary: ₹10 LPA to ₹23 LPA
Build software products with AI features baked in.
Salary: ₹6 LPA to ₹16 LPA
Whether you are a fresher, working professional, or career switcher, this course on GenAI helps you build practical skills employers actively seek.
Learn what's happening behind the AI tools you use every day instead of relying on prompts alone.
Turn ideas into practical solutions using modern Generative AI technologies and workflows.
Explore how AI systems are developed, deployed, and used to solve real business problems.
Complete hands-on projects that help showcase your skills to employers and clients.
Build a portfolio that demonstrates real-world skills gained through our GenAI course, helping you showcase practical AI and Machine Learning capabilities.
By the end of this Gen AI Course, you’ll have multiple portfolio-ready projects that showcase practical implementation skills.

Python

NumPy

Pandas

SQL

TensorFlow

Scikit-Learn

OpenAI

Google Gemini

Docker

FastAPI

MLflow

AWS

Azure

Google Cloud

FAISS

ChromaDB

GitHub

Power BI
Upon successful completion of this course, learners receive:


| Features | Win In Life Academy | Typical Courses |
|---|---|---|
| LIVE Instructor-Led Training | ||
| IBM Learning Components | ||
| 1:1 Mentorship | ||
| Dedicated Placement Support | ||
| Structured Learning Roadmap | ||
| 16+ Real-World Projects | ||
| Resume Optimization | ||
| LinkedIn Optimization | ||
| Personalized Interview Preparation | ||
| Industry-Focused Curriculum |
Technical and HR mock interviews, concept revision, and confidence-building sessions until you can perform under pressure.
Role-specific resume development, LinkedIn optimization, and profile positioning matched to the roles you're targeting.
Curated job listings mapped to your profile, 1:1 interview coaching, employer coordination, and post-placement support.



This Generative AI Training program runs for 6 months and includes 240+ hours of structured learning covering Machine Learning, Large Language Models (LLMs), MLOps, Cloud Deployment, and Generative AI applications.
Yes. Learners can choose between online, offline, and hybrid learning formats based on their schedule and preferences.
No prior coding experience is required. The program begins with Python fundamentals before progressing to Machine Learning, Generative AI, and AI application development.
You will learn Python, Machine Learning, Deep Learning, Prompt Engineering, LLMs, MLOps, Cloud Deployment, AI for Business Analytics, and production-ready AI workflows used across industries.
The curriculum includes hands-on projects such as AI chatbots, recommendation systems, resume screening tools, RAG applications, predictive analytics dashboards, customer support assistants, and deployment-focused capstone projects.
This Gen AI Course covers Python, NumPy, Pandas, SQL, TensorFlow, Scikit-Learn, OpenAI APIs, Google Gemini, FastAPI, Docker, MLflow, AWS, Azure, Google Cloud, FAISS, ChromaDB, GitHub, and Power BI.
Yes. Learners receive 1:1 mentorship, project reviews, technical guidance, interview preparation, and career support throughout the learning journey.
Yes. Placement assistance includes resume building, LinkedIn optimization, mock interviews, job application support, and career guidance to help learners transition into AI-focused roles.
Yes. Upon successful completion, learners receive a course completion certificate along with IBM components and Generative AI Certification opportunities that help validate industry-relevant skills.
After completing the training, learners can pursue roles such as Generative AI Engineer, AI Engineer, Machine Learning Engineer, MLOps Engineer, Data Scientist, AI Application Developer, Business Analytics Professional, and AI Consultant.

Program Fee: ---- | 0% EMI Available | New Batch Starts Every Month 15th & 30th
Talk to Advisor