- Home
- GenAI Production Bootcamp
GenAI Production Bootcamp
The Generative AI bootcamp is an intensive 6-month, 240-hour program designed to train learners in building, deploying, and maintaining production-grade Generative AI and machine learning systems. The curriculum covers Python, statistics, data handling, classical machine learning, deep learning, large language models (LLMs), prompt engineering, RAG systems, MLOps, Docker, and cloud deployment across AWS, GCP, and Azure. Learners work extensively with tools such as FastAPI, MLflow, FAISS, ChromaDB, SHAP, LIME, and enterprise-aligned IBM GenAI labs focused on responsible and ethical AI. Through 16+ hands-on projects, production deployments, and an end-to-end capstone, the program prepares graduates for real-world roles including GenAI Engineer, Machine Learning Engineer, MLOps Engineer, AI Application Developer, and Production-focused Data Scientist.
In Collaboration with
Placement Training and Mentorship
16 Projects
IBM Certification
24*7 Access to LMS
How does the GenAI Training Program help your career?
Program Details
Key Takeaways
Production-Ready Generative AI Skills:
Develop strong foundations in Python, machine learning, and deep learning, then advance into Generative AI concepts such as large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG). Learn how to design AI systems that move from prototype to production.
MLOps & Deployment Expertise:
Gain hands-on experience with MLOps practices, including experiment tracking, model versioning, containerization, and cloud deployment. Build and deploy AI services using FastAPI, Docker, MLflow, and multi-cloud platforms such as AWS, GCP, and Azure.
Real-World Project & Portfolio Development:
Strengthen your profile with 16+ hands-on projects and a production-grade capstone. Work on real GenAI use cases, API-based AI services, and cloud-deployed pipelines that demonstrate practical, job-ready skills.
Career Readiness & Industry Alignment:
Prepare for in-demand roles such as GenAI Engineer, Machine Learning Engineer, MLOps Engineer, and AI Application Developer. Benefit from structured mentorship, industry-aligned projects, and portfolio-driven career preparation focused on real-world hiring expectations.
GenAI Production Bootcamp Curriculum
Expert Designed Generative AI Course for Students and Professionals
Non Technical training
English Communication & Grammar
- Basics of Communication
- Grammar and Vocabulary
- Verbal Communication Skills
- Written Communication
- Non-verbal Communication
- Confidence and Public Speaking
- Professional Communication Etiquette
- Practical Application
- Continuous Learning
Mock Interviews
(Practice Assessment Test)
- Personal Introduction
- Technical Skills
- Problem-Solving
- Behavioral Insights
- Industry Knowledge
- Hypothetical Scenarios
- Soft Skills
Corporate Etiquette
- Making the Most of Meetings
- Dressing Right for the Workplace
- Being Respectful and Thoughtful at Work
- Keeping Your Workspace Clean and Organized
- Using Technology Responsibly
- Dining with Manners in Professional Settings
- Building Relationships Through Networking
- Best Practices for Virtual Meetings and Online
- Communication
- Managing Your Time and Meeting Deadlines
- Understanding and Respecting Cultural Differences
- Leaving a Job Gracefully
Aptitude
Program Modules for Generative AI Bootcamp
The GenAI Production Bootcamp is designed to build both technical depth and production-level expertise in machine learning, generative AI, and MLOps. Structured across six progressive modules, the program takes learners from core Python and machine learning foundations to deploying, monitoring, and scaling real-world GenAI systems. Each module blends essential concepts with hands-on implementation, covering LLM applications, prompt engineering, RAG pipelines, MLOps workflows, cloud deployment, and responsible AI practices. This structure ensures learners develop the practical, job-ready skills required to move AI solutions from experimentation to reliable production environments.
Industry Partner Programs Offered in Association with IBM
The GenAI Production Bootcamp includes integrated learning components delivered in collaboration with IBM, focused on production-grade Generative AI, MLOps, and responsible AI practices. These modules feature guided, hands-on labs accessed through IBM’s Learning Management System, allowing learners to work with enterprise-aligned GenAI tools, deployment workflows, and ethical AI frameworks. Backed by IBM’s global expertise and real-world use cases, the program equips learners with practical, industry-relevant skills that enhance employability and prepare them for production-focused GenAI, machine learning engineering, and MLOps roles.
IBM Course Name |
Guided Lab |
|---|---|
Generative AI Essentials
|
Course
|
GenAI Apps with Python
|
Course
|
Prompt Engineering Essentials
|
Guided Lab
|
Docker Essentials
|
Guided Lab
|
Tools to be Covered in Business Analytics Next-Gen AI Course
Disclaimer :
The tools, software, platforms and datasets presented within the PG Diploma Business Analytics Next-Gen AI Course are provided solely for educational purposes to facilitate learning and understanding of relevant concepts and techniques. It should not be considered suitable or optimized for real-world production environments.
These tools may have limited functionality, trial version, or specific configurations for educational use and may involve inherent risks such as data loss or system instability, for which we offer no guarantees or warranties regarding their performance, reliability, accuracy or suitability beyond their educational demonstration.
Certifications for Business Analytics Next-Gen AI Course
Once you completed Business Analytics Next-Gen AI course, you will get globally recognized certification from Win in Life Academy.
Globally Recognised Certification
Note: To secure your certification for PG Diploma in Business Analytics Next-Gen AI Course course certificate, you must successfully complete the training from Win in Life Academy.
Our Distinctive Approach
We offer exceptional learning experience in GenAI Production Bootcamp by blending industry-aligned curriculum, cutting-edge tools, and mentorship from seasoned professionals in data science and machine learning operations.
Applied Learning & Real-World Projects
Engage in hands-on learning through guided IBM GenAI labs, real-world simulations, and production-oriented projects that reflect how AI systems are built and deployed in industry. Work on LLM applications, RAG pipelines, API-based AI services, MLOps workflows, and cloud-deployed GenAI solutions designed for scalability and reliability.
Mentorship from Industry Experts
Learn directly from experienced GenAI engineers, machine learning engineers, and MLOps professionals who share practical insights from real production environments. Receive guidance on applying tools such as FastAPI, Docker, MLflow, cloud platforms, and responsible AI frameworks to design, deploy, and maintain reliable AI systems.
Career Growth & Data Science Pathways
Career Growth & Data Science PathwaysAccess structured career mentorship, placement support, and portfolio guidance focused on production-ready roles such as GenAI Engineer, Machine Learning Engineer, MLOps Engineer, and AI Application Developer. Leverage industry exposure and project-driven experience to pursue opportunities across IT services, product companies, startups, and enterprise AI teams.
Program Fees
New Batches Starts Every 15th & 30th
₹89,999 (EMI available)
Note: 0% interest rates with no hidden cost
Programme Faculty
What's Unique About This Program?
Why is our GenAI Production Bootcamp the top choice?
Features
Industry-Focused Curriculum
Placement mentorship program
Corporate Etiquette Sessions
Capstone projects
LMS Course kit
EC Council collaboration
Recorded Video
1:1 Personalized Mentorship
Placement Mock Interviews
Interdisciplinary expertise
Industry Expert sessions
WILA
Others
Success Stories
Graduate Perspectives
Program (FAQs)
Program Overview :
Who is eligible for the GenAI Production Bootcamp?
This program is open to fresh graduates, working professionals, and career switchers who want to build production-ready AI skills. While prior coding or machine learning exposure is helpful, the curriculum is structured to take learners from Python and ML fundamentals to deploying real-world Generative AI systems.
What skills will I gain in this program?
Since this course is a combination of generative ai course and production machine learning course, you will develop skills across machine learning, Generative AI, MLOps, and cloud deployment. This includes working with LLM APIs like Open AI API, Gemini API, prompt engineering, RAG pipelines, experiment tracking, model deployment, monitoring, and responsible AI practices—skills required for production-focused AI roles.
What tools and technologies are covered in the GenAI Production Bootcamp?
The program covers industry-relevant tools such as Python, SQL, FastAPI, MLflow, Docker for machine learning, cloud platforms (AWS, GCP, Azure), LLM APIs, vector databases (FAISS, ChromaDB), and explainability tools like SHAP and LIME, along with IBM-integrated GenAI and Responsible AI labs.
How is this program different from a standard AI or Data Science course?
Most AI programs stop at model building or GenAI demos. This bootcamp focuses on production—how models and GenAI applications are deployed, monitored, versioned, and scaled in real environments. You learn not just how to build AI, but how to run it reliably in production.
Is the program available online, and how long does it take to complete?
Yes. The GenAI Production Bootcamp is available in online, offline, and hybrid formats. It is a 6-month program with structured learning, live sessions, hands-on labs, project work, and a production-grade capstone.
Win in Life Academy’s GenAI Production Bootcamp
Best generative AI course by experienced faculty and industry leaders in the form of pre-recorded videos, projects, assignments, and live interactive sessions.
Connect with our graduates
Have questions? Reach out to our alumni!
Find WILA alumni profiles and know more about their career path, specialisation and more.
Placement Training (FAQs)
Career Results :
What hands-on experience will I gain during the program?
You will work on 16+ hands-on projects, IBM-guided GenAI labs, and a full production capstone. GenAI Projects focus on building LLM applications, Retrieval Augmented Generation (RAG) systems, API-based AI services, MLOps pipelines, and cloud deployments that reflect real-world workflows.
What mentorship and academic support will I receive? fff
Learners receive guidance from GenAI engineers, ML engineers, and MLOps professionals. Support includes mentor-led sessions, project reviews, doubt-clearing sessions, peer collaboration, and continuous feedback on technical and deployment skills.
How does placement training prepare me for GenAI and MLOps roles?
Our GenAI production bootcamp with placement preparation includes technical mock interviews, system design discussions, GenAI and MLOps scenario-based assessments, resume and portfolio optimization, and guidance for roles such as GenfAI Engineer, MLOps Engineer, Machine Learning Engineer, and AI Application Developer.
What does a typical learning week look like?
Each week includes live classes, guided labs, coding and deployment exercises, project work, and review sessions. You will work with Dockerized environments, cloud deployments, MLflow tracking, and GenAI APIs to simulate real production scenarios.
Will I receive placement assistance after completing the program?
Yes. The program includes structured placement assistance, covering curated job opportunities, recruitment drives, interview preparation, and ongoing mentorship. Since companies increasingly hire for production-focused GenAI and MLOps roles, the skills developed in this bootcamp provide a strong advantage in the hiring process.
Admission and Charges :
What are the requirements for eligibility?
A bachelor’s degree in any field is ideal, as are a willingness to learn and a foundational understanding of analysis.
How much does the course cost?
Indeed. To make the program accessible, we provide flexible EMI and instalment options.
Can I make payments in installments?
Indeed. In addition to resume building, mock interviews, and connections to top recruiters, we offer committed career support.
Experience of Learning :
Is this course offered online or in person?
In addition to group projects, mentorship, and interactive live sessions, it is delivered online.
Will I receive one-on-one coaching?
Yes, throughout the course, you will have access to seasoned mentors who can offer you personalised advice.
How much time should I set aside every week?
To stay on track, we advise 8–10 hours per week, but you can modify this according to your schedule.