AI & ML Course Online with IBM Collaboration
Become job-ready in AI, Machine Learning, and Generative AI in just 6 months.
- Become IBM-certified AI Professional
- 240+ Hours of Instructor-Led Training
- 16+ Real-World Projects
- Dedicated Placement Support
In Collaboration with :
- 72% Learners Got Placed in 6 Months
- New batch Starting Very Soon
Book Your Demo Class Today!
Our Alumni Work in Top Companies
Roles This AI & ML Course Prepare You For
Prepare for some of the fastest-growing technology roles.
AI Engineer
Salary: ₹6.6 LPA to ₹15 LPA
Machine Learning Engineer
Salary: ₹8.8 LPA to ₹22.6 LPA
Generative AI Engineer
Salary: ₹5.5 LPA to ₹15 LPA
MLOps Engineer
Salary: ₹8.3 LPA to ₹22 LPA
Data Scientist
Salary: ₹10 LPA to ₹23 LPA
AI Application Developer
Salary: ₹6 LPA to ₹16 LPA
Why This AI & ML Course Online is Different from Traditional Artificial Intelligence Courses
Most AI courses teach you how to build models. Few teach you how to deploy, monitor, and scale them in real-world environments.
This program goes beyond traditional AI and ML training by integrating:
Machine Learning Foundations
Deep Learning Concepts
Generative AI Applications
MLOps Workflows
Cloud Deployment
Production-Ready AI Systems
You don't just learn AI. You learn how AI solutions are built, deployed, and maintained in modern organizations.
Real World Projects You Will Work On
You start with guided beginner projects and work up to a full production capstone. Every project gets dedicated support, so you are never thrown in the deep end. By the end, you will have a portfolio that proves what you can do.
AI-Powered Chatbot
Resume Screening System
Customer Support Assistant
Recommendation Engine
RAG-Based Knowledge Assistant
Predictive Analytics Dashboard
Sales Forecasting Model
End-to-End Production Deployment Capstone
By the end of the program, you’ll have multiple portfolio-ready projects that showcase practical implementation skills.
Master In-Demand AI & ML Tools & Technologies
Python
NumPy
Pandas
SQL
TensorFlow
Scikit-Learn
OpenAI
Google Gemini
Docker
FastAPI
MLflow
AWS
Azure
Google Cloud
FAISS
ChromaDB
GitHub
Power BI
You will master every one of them from the basics in our course, no prior exposure needed.
Earn Industry-Recognized AI Certification
Upon successful completion of this AI and ML course, learners receive:
Why Choose Win In Life Academy
See how we stand out from the rest
| 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 |
Industry-Aligned AI and ML Course Curriculum Covering Artificial Intelligence, Machine Learning & GenAI from Scratch
The 3 Stage Placement Support & Guidance
Our AI and ML course goes beyond teaching. A structured three-stage placement support system takes you from course completion to interview-ready to actively applying.
Get Interview-Ready
Technical and HR mock interviews, concept revision, and confidence-building sessions until you can perform under pressure.
Build Your Professional Profile
Role-specific resume development, LinkedIn optimization, and profile positioning matched to the roles you're targeting.
Apply, Interview, and Land the Role
Curated job listings mapped to your profile, 1:1 interview coaching, employer coordination, and post-placement support.
Win In Life Academy Success Stories
Frequently Asked Questions
The cost of staying stuck in the wrong career is always higher than investing in the right one.
What is the duration of this AI & ML Course?
The program runs for 6 months and includes 240+ hours of structured training covering Artificial Intelligence,Machine Learning, Generative AI, MLOps, and Production Deployment.
Can I do this Artificial Intelligence Course online?
Yes. This Artificial Intelligence Course is available in online, offline, and hybrid learning modes, allowing learners to choose the format that best suits their schedule and learning preferences.
Do I need coding experience for this AI and ML Course?
No prior coding experience is required to begin. This AI and ML Course starts with Python fundamentals and gradually progresses to advanced AI, Machine Learning, and Generative AI concepts.
What will I learn in this AI & ML Course?
You will learn Python, Data Analysis, Machine Learning, Deep Learning, Generative AI, Prompt Engineering, Large Language Models (LLMs), MLOps, Cloud Deployment, and Production AI Systems through a structured learning roadmap.
What projects will I build during this Artificial Intelligence Course?
You will work on real-world projects including AI-powered chatbots, recommendation engines, resume screening systems, predictive analytics dashboards, RAG-based applications, customer support assistants, and a production deployment capstone project.
Which tools and technologies are covered in this AI Course Online?
This AI Course Online covers Python, NumPy, Pandas, SQL, TensorFlow, Scikit-Learn, OpenAI APIs, Google Gemini, Docker, FastAPI, MLflow, AWS, Azure, Google Cloud, FAISS, ChromaDB, GitHub, and Power BI.
Will I receive mentorship during the AI Course Online?
Yes. Learners receive 1:1 mentorship, doubt-clearing support, project guidance, technical assistance, career guidance, and interview preparation throughout the program.
Does this AI & ML Course include placement support?
Yes. The program includes dedicated placement support through resume building, LinkedIn optimization, mock interviews, interview preparation, career guidance, and job application assistance.
Will I receive a certificate after completing this Artificial Intelligence Course?
Yes. Upon successful completion of the program, learners receive a Win In Life Academy AI & ML Course Completion Certificate along with IBM certification components as applicable to the program.
What career opportunities are available after completing this AI and ML Course?
After completing this AI and ML Course, learners can pursue roles such as AI Engineer, Machine Learning Engineer, Generative AI Engineer, MLOps Engineer, Data Scientist, AI Application Developer, and AI Solutions Consultant.
