GenAI Production Bootcamp
- 6 Months (240+ Hours) of Training
- Online / Offline / Hybrid Mode of Delivery
- 10000+ Learners
- 300+ Hiring Partners
- 25+ Tools Covered
In Collaboration with
Start a New Career in
6 Months
Get
IBM Certificate
1:1 Placement
Mentorship
300+ Hiring
Partners
Build job-ready skills for roles such as GenAI Engineer, LLM Engineer, MLOps Engineer, AI Application Developer, and RAG Systems Engineer.
Course Overview
GenAI Production Bootcamp
The GenAI Production Bootcamp is an intensive 6-month generative AI course designed to develop industry-ready professionals with strong expertise in large language models, prompt engineering, retrieval augmented generation, and modern AI automation workflows. Learners build hands-on proficiency in Python, SQL, machine learning, and LLM applications while working with advanced generative AI tools such as Hugging Face Transformers, OpenAI API, LangChain, vector databases, MLflow, Docker, and cloud platforms like AWS, Azure, and GCP.
Through real-world projects, IBM-integrated labs, and end-to-end deployment workflows, this GenAI bootcamp bridges the gap between conceptual AI learning and real AI workflows in production environments. With dedicated placement assistance, the generative AI bootcamp prepares graduates for high-demand roles such as GenAI Engineer, LLM Engineer, MLOps/LLMOps Engineer, AI Application Developer, RAG Systems Engineer, and AI Deployment & Cloud Engineer across industries.
Who Should Enroll
Who Should Take Gen AI Production Bootcamp
This job-oriented Gen AI training is designed for diverse career stages, from fresh graduates to seasoned professionals targeting AI engineering roles.
Who This Course Is Ideal For
Graduates and final-year students looking to break into generative AI, machine learning, and AI engineering roles.
Software engineers and backend developers who want to move from traditional development into GenAI Engineer and LLM Engineer roles.
Automation professionals and RPA specialists aiming to build agentic AI systems and production-grade LLM applications.
Mid-career data and IT professionals looking to master AI agents, RAG pipelines, and LLM deployment at scale.
Startup founders and product builders who want to ship AI-native features without depending on an external engineering team.
AI enthusiasts and self-taught practitioners seeking structured, hands-on training focused on real-world deployment rather than theory.
Minimum Eligibility & Required Knowledge
Bachelor’s degree from any stream or equivalent qualification.
Basic computer knowledge and familiarity with technology is helpful; prior exposure to programming is an added advantage.
Strong interest in learning generative AI tools and willingness to learn consistently through a structured, hands-on training approach.
Ready to get started ?
Talk to one of our career advisors and find out if this program is right for you
Curriculum
Curriculum of Gen AI Production Bootcamp
Foundations for AI & GenAI
Build the technical foundation of this generative AI course before touching a single language model. You will cover Python programming for AI development, SQL data handling, statistical foundations, exploratory data analysis, and the mathematical mindset that generative AI training and modern AI engineering work demands on day one.
- Python, Jupyter Notebook, NumPy
- Pandas, MySQL
- SciPy
- Matplotlib, Seaborn, PyPlot
Machine Learning & Deep Learning Foundations
Develop the machine learning and deep learning foundations required for advanced LLM applications and GenAI work. You will work through supervised learning, unsupervised clustering, and deep learning architectures that power modern large language models, training and evaluating models using industry-standard frameworks that hiring managers actually recognize.
- Python, Pandas, NumPy, scikit-learn
- PyTorch, TensorFlow, Keras
- Deep learning model training workflows
GenAI Production Systems & MLOps
Shipping a model is where most courses stop. This Gen AI bootcamp module starts there. You will build AI workflows with data pipelines and retrieval augmented generation architectures, deploy production-grade LLM applications through containerization and cloud platforms, and set up monitoring and governance systems used to manage multimodal AI and GenAI applications at scale.
- FAISS, Chroma, Pandas
- MLflow, FastAPI, Docker
- AWS, Azure, GCP
- Monitoring and evaluation frameworks
Generative AI & LLM Engineering
Go beyond basic prompting and into real LLM engineering. You will work with transformer architectures and Hugging Face Transformers, integrate production-grade OpenAI API, Gemini API, and Claude API endpoints, build AI workflows, design retrieval augmented generation (RAG) pipelines grounded in your own data, and architect AI agents with multi-agent orchestration that execute complex, multi-step tasks autonomously.
- GPT, Hugging Face Transformers
- OpenAI API, Gemini API, FastAPI
- FAISS, Chroma
- LlamaIndex, AutoGen, LangChain
Domain Specialization
Apply everything you have built to one real industry. Choose from FinTech, E-Commerce, Healthcare, or Education, and complete three applied projects plus a full domain capstone that goes straight into your portfolio.
- Track A: FinTech, AI Financial Assistant, Fraud Detection using LLM Insights, Risk Analysis & Reporting with GenAI
- Track B: E-Commerce & Retail, AI Product Recommendation, Customer Support Chatbot, Personalized Marketing Content Generation
- Track C: Healthcare, Clinical Data Summarization, AI Diagnosis Support, Medical Report Generation
- Track D: Education, AI Learning Assistant, Personalized Learning System, Automated Assessment & Feedback
- Bring everything together into one production-grade generative AI project and take it in front of an industry panel. You will go from problem definition through two full development sprints, integrate LLM applications with Docker and cloud deployment, present to an industry panel, and exit with placement support lined up.
English Communication & Grammar
Build the communication foundation that every professional setting demands. You will cover grammar, vocabulary, verbal and written communication, non-verbal cues, public speaking, and professional etiquette, finishing with practical application exercises and a framework for continuous improvement.
- 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
Prepare for every angle an interviewer can throw at you. This practice assessment module runs you through real interview simulations across multiple question types, so nothing catches you off guard on the day.
- Personal Introduction
- Technical Skills
- Problem-Solving
- Behavioral Insights
- Industry Knowledge
- Hypothetical Scenarios
- Soft Skills
Corporate Etiquette
Learn how professionals actually conduct themselves at work, from the boardroom to the lunch table to the exit interview. You will cover every situation a workplace throws at you before you are in it.
- 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
- Sharpen the quantitative and logical reasoning skills that appear in every hiring assessment. You will work through problem types that test numerical ability, analytical thinking, and pattern recognition, building both speed and accuracy under test conditions.
IBM | Industry Partnership
Industry Partnership Courses Offered in Association with IBM
The GenAI Production Bootcamp includes integrated programs offered in collaboration with IBM. These programs feature guided labs delivered through the IBM Learning Management System, enabling hands-on experience in generative AI fundamentals, LLM applications, prompt engineering, responsible AI, and AI deployment. With real-world, case-driven learning aligned to industry standards, learners gain practical exposure to AI content generation, RAG system implementation, and AI deployment with Docker. Backed by IBM’s global credibility, these certifications strengthen employability and prepare professionals for high-demand roles in GenAI engineering and production AI environments.
IBM Modules
Generative AI Fundamentals
LLM Application Development
Prompt Engineering Essentials
Responsible & Ethical AI
Docker for AI Deployment
IBM Guided Labs
Developing GenAI Applications
LLM-based Chatbot Development
Prompt Engineering Lab
RAG System Implementation
AI Deployment with Docker
Tools & Technolog
Advanced Generative AI & LLM Engineering Tools You'll Master Through Our Course
In our Generative AI production course, you will master advanced generative AI tools, LLM platforms, and production deployment systems used across industries. From Python and SQL foundations to Hugging Face Transformers, OpenAI API integration, LangChain orchestration, vector databases, and full deployment across multi-cloud environments, the tool stack reflects what 2026 hiring managers actually screen candidates for. Through hands-on training, real-world projects, and practical AI applications, you will develop the technical expertise required to work in modern genai bootcamp environments and production AI systems.
Curriculum
Skills You Will Learn in GenAI Production Bootcamp
Python for AI
Machine Learning
Deep Learning
Generative AI
Prompt Engineering
LLM Development
RAG Systems
Vector Databases
OpenAI API
LangChain
AI Agents
AI Content Generation
MLOps & LLMOps
Docker & Containers
Cloud AI Deployment
Responsible AI
Curriculum
Certification You Will Earn
Upon completing the GenAI Production Bootcamp, you will receive a globally recognized generative AI certification from Win In Life Academy. In addition, learners earn separate certifications for each IBM module completed through IBM’s official e-learning platform, including Generative AI Fundamentals, LLM Application Development, Prompt Engineering Essentials, Responsible & Ethical AI, and guided IBM labs. Together, this generative ai certification combined with IBM credentials strengthens your professional profile and demonstrates your capability across generative AI training, LLM course outcomes, prompt engineering, and modern AI production systems.
Win In Life Academy Certification
Globally recognized diploma certification
IBM Module Certification
Prompt Engineering, Cognos Analytics, Generative AI & IBM lab
Note:
To secure your GenAI Production Bootcamp certification, you must successfully complete the training program at Win in Life Academy.
Placement Support
The Win In Life Placement Mentorship Program
At Win In Life Academy, we see every learner as a future professional in the making. Our Placement Mentorship Program is built to personally guide, nurture, and mould them through every stage of their journey, mentoring each student into a confident, capable professional ready to build a successful career in the current industry.
Assess Your Knowledge & Prepare for Interviews
Learners work closely with trainers to evaluate their understanding of core concepts and identify areas that need improvement. This phase bridges course learning with interview readiness through structured evaluations, technical skills training, and non-technical mock preparation. With continuous trainer guidance and performance tracking, learners revise their technical understanding, get tips for communication, and build confidence to perform effectively in technical and HR interviews.
Understand Career Roles and Develop Your Profile
In this phase, learners are given a detailed view of the placement process, and expectations are set. They gain clarity on real-world data science career roles, eligibility requirements for different job functions in the IT and related domain, companies that are hiring, and what will be the career path for each of the roles. Guided by trainers, learners get an opportunity to develop their resumes for specific data science job roles. They also get support for optimizing LinkedIn profiles. The process ensures that every learner is strategically positioned for suitable job opportunities and equipped to present a strong professional profile.
Apply for Roles and Attend Interviews
In this phase, learners transition from preparation to real-world opportunities. The Placement Team actively maps each candidate’s profile to suitable job openings, briefs them on role expectations, and provides personalized coaching for upcoming interviews. Through one-on-one guidance, employer coordination, and structured feedback after every interaction, learners gain practical exposure to hiring processes and the confidence to perform effectively. The placement team continues to support ongoing placement efforts and ensures every learner remains connected until successfully placed.
GenAI Engineering Roles this Course Prepares You For
GenAI Engineer
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹12 LPA
- ₹12 LPA – ₹20 LPA
- ₹25 LPA – ₹40 LPA+
LLM Engineer
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹12 LPA
- ₹12 LPA – ₹22 LPA
- ₹30 LPA – ₹50 LPA+
MLOps / LLMOps Engineer
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹12 LPA
- ₹12 LPA – ₹20 LPA
- ₹25 LPA – ₹35 LPA+
AI Application Developer
- Entry Level
- Mid Level
- Senior level
- ₹5 LPA – ₹10 LPA
- ₹10 LPA – ₹18 LPA
- ₹20 LPA – ₹30 LPA+
RAG / AI Systems Engineer
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹12 LPA
- ₹12 LPA – ₹22 LPA
- ₹28 LPA – ₹45 LPA+
AI Deployment & Cloud Engineer
- Entry Level
- Mid Level
- Senior level
- ₹6 LPA – ₹12 LPA
- ₹12 LPA – ₹22 LPA
- ₹30 LPA – ₹45 LPA+
What Our Students Say
The training at WILA empowered me with confidence, real-world skills, and career clarity.
Sharmistha Malakar
WILA's hands-on training and mentorship helped me grow professionally and gave me career direction.
Manupriya M
The comprehensive training and supportive environment at WILA gave me the tools to succeed.
Paramanandhan
WILA's career-focused training transformed my approach to learning and made me job-ready.
Sooryagayathri Sujith
WILA's structured training process helped me build practical skills and confidently approach job opportunities.
Kuncham Vasanth Kumar
The supportive training environment at WILA enhanced my skills and gave me the confidence to excel.
Tejavath Renuka
WILA’s training and placement support helped me gain confidence and prepare effectively for real job opportunities.
Rupa Choudhury
The mentorship and structured approach at WILA helped me stay focused and prepare consistently for opportunities.
Pranamya P Gunaga
WILA’s career preparation process guided me step-by-step, making the transition from learning to interviews much smoother.
Mahesh Babu
WILA helped me stay disciplined throughout training and approach interviews with better clarity and confidence.
Subha Jeyabalan
The training environment at WILA pushed me to improve consistently and prepare seriously for job opportunities.
Vara Prasad
Tools & Technolog
Why Choose WILA for GenAI Production Bootcamp
This course is designed for diverse career stages — from fresh graduates to seasoned
professionals
Globally Accredited Programs
IBM Add-on Courses
1:1 Placement Mentorship
72% placed within 6 Months
Industry-Aligned Curriculum
Real-World Projects
Industry Expert Mentors
Flexible Learning Modes
Curated Job Opportunities
FAQ
Frequently Asked Question (FAQs)
Ready to Transform Your Career
Is this the best generative AI course in India for freshers?
This is a job-oriented Gen AI course in India designed for freshers and career switchers. It focuses on practical skills, real-world projects, and placement mentorship aligned with current hiring trends.
What is the average salary after a generative AI course in India?
In India, entry-level GenAI engineering salaries typically range between ₹6–12 LPA. Candidates with strong LLM applications portfolios, prompt engineering experience, and AI deployment skills tend to secure higher packages.
What is the duration and fees of this generative AI course?
The duration of this generative AI bootcamp is 6 months and fees depends on the course fees at the time of enrollment which is subject to change. Please talk to our course counsellors for more detailed information on course fees.
Does this generative AI course with placement guarantee a job?
This is a support-based generative AI production bootcamp with placement assistance. You receive mentorship, resume building, and interview preparation, but placement depends on your performance.
What skills are required before joining this Generative AI production bootcamp?
No prior experience is required. This GenAI bootcamp starts from Python basics and builds up to advanced LLM, prompt engineering, and AI deployment concepts, making it suitable for beginners.
What projects are included in this generative AI training program?
This generative AI training program includes real-world projects like LLM applications, AI agents, RAG system development, ChatGPT applications, and end-to-end AI deployment case studies to build a strong portfolio.
What tools and technologies are covered in this AI prompt engineering course?
This AI course covers Python, Hugging Face Transformers, OpenAI API, LangChain, vector databases, MLflow, Docker, and generative AI tools used in real industry workflows.
Will I get a certificate after completing this generative AI certification course?
Yes, you will receive a generative AI certification validating your skills in LLM applications, prompt engineering, AI deployment, and production GenAI systems.
Does this course cover LLM applications and RAG systems for production?
Yes. This generative AI course covers large language models, retrieval augmented generation systems, AI agents orchestration, multimodal AI applications, and AI workflows used in real industry environments. The program is structured as a complete LLM course with hands-on practical exposure to AI automation and production deployment frameworks.
Where is this generative AI course available?
Our GenAI Production Bootcamp is available in Bangalore, Chennai, and Hyderabad, with both offline and hybrid learning options to suit different schedules of our learners.