Generative AI Course
Build, practical Generative AI Skills in LLMs, Prompt Engineering, RAG, MLOps, Healthcare AI, and Business AI Applications.
- 3 Months (120+ Hours) of Training
- Online / Offline / Hybrid Learning Modes
- 30+ AI Tools Covered
- 10,000+ Learners Trained
- 300+ Hiring Partners Onboarded
In Collaboration with
Build GenAI Expertise in
3 Months
300+ Hiring
Partners
Get 1:1 Mentorship
from Experts
Master 30+ GenA
Tools
Master Python, Machine Learning, Deep Learning, LLMs, Prompt Engineering, RAG, and AI deployment to build real-world Generative AI applications.
Course Overview
Generative AI Course
The Generative AI Course is an intensive 3-month AI certification program designed to build practical expertise in Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Machine Learning, and AI deployment. Learners gain hands-on experience with Python, NLP, Deep Learning, and industry-standard tools including OpenAI API, Hugging Face, LangChain, vector databases, MLflow, Docker, AWS, Azure, and Google Cloud Platform (GCP).
Through hands-on labs, real-world projects, and a capstone, learners build applications such as an AI Chatbot, AI Resume Builder, AI Content Generator, AI Document Summarizer, AI Customer Support Bot, and AI Knowledge Assistant. The program emphasizes production-ready AI development, MLOps, cloud deployment, Healthcare AI, and Business AI, preparing learners for emerging AI engineering careers.
Who Should Enroll
Who Should Take the Generative AI CourseAI
This AI Professional Course helps graduates, software developers, IT professionals, and data practitioners build production-ready Generative AI skills.
Who This Course Is Ideal For
Graduates, final-year students, and career switchers aspiring to build careers in Generative AI, LLM engineering, and production AI development.
Software developers and full-stack engineers looking to upskill with AI application development, RAG, and AI agent frameworks.
Data professionals, ML practitioners, and AI enthusiasts who want to transition into production-ready GenAI engineering roles.
Working IT professionals seeking hands-on expertise in LLMs, AI agents, MLOps/LLMOps, and enterprise AI deployment.
Entrepreneurs, founders, and product teams planning to build and launch AI-powered products using modern GenAI technologies.
Professionals eager to gain practical, project-based experience in designing, deploying, and scaling real-world AI applications.
Minimum Eligibility & Required Knowledge
Bachelor's degree in any discipline or equivalent qualification from a recognized institution.
Basic computer proficiency and familiarity with digital tools are recommended; prior knowledge of programming is beneficial but not mandatory.
A genuine interest in Generative AI, problem-solving, and a willingness to learn through practical, project-based training.
Ready to get started ?
Talk to one of our career advisors and find out if this program is right for you
Curriculum
Curriculum of Our Generative AI Course
Foundations of Generative AI and Python
Build the essential foundation for your GenAI journey before developing production-ready AI applications. This module introduces AI, Machine Learning, Generative AI, and Large Language Model (LLM) fundamentals while strengthening your Python programming skills and core mathematical concepts required for modern AI development and real-world GenAI workflows.
- Python, Jupyter Notebook
- NumPy, Pandas
- Google Colab
- Git & GitHub
Statistics & Machine Learning Foundations
Develop a strong understanding of machine learning concepts that power modern AI systems. Learn supervised and unsupervised learning techniques, regression, classification, clustering, feature engineering, and model evaluation to build the foundation required for intelligent AI applications.
- Scikit-learn, Pandas
- Matplotlib, Seaborn
- Jupyter Notebook
Advanced Analytics & AI Applications
Explore the core principles of deep learning by understanding neural networks, backpropagation, activation functions, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Build the knowledge needed to develop advanced AI and Generative AI models.
- TensorFlow, Keras
- TensorBoard
- Google Colab
Unsupervised Learning & Recommendation Systems
Learn how Large Language Models understand and generate human language. Explore NLP fundamentals, transformers, tokenization, embeddings, GPT, BERT, and prompt engineering techniques used to build intelligent conversational AI applications.
- Hugging Face Transformers
- OpenAI API
- spaCy, NLTK
Agentic AI & Automation
Master AI-powered text and code generation using ChatGPT, Claude, Gemini, and Microsoft Copilot. Learn prompt optimization, few-shot prompting, function calling, code generation, and output evaluation to build reliable, production-ready AI workflows.
- OpenAI Playground
- GitHub Copilot
- Ollama
Generative Models for Images and Multimodal Content
Explore how modern Generative AI creates and understands visual and multimodal content. Learn the fundamentals of diffusion models, image generation, vision-language models, and multimodal AI workflows to build applications capable of processing and generating text, images, and other media in real-world production environments.
- Stable Diffusion
- DALL·E
- ComfyUI
- CLIP
Advanced Prompt Engineering and RAG Pipelines
Master advanced prompting techniques to improve the accuracy, reasoning, and reliability of Large Language Models. Learn prompt chaining, Retrieval-Augmented Generation (RAG), embeddings, vector search, document indexing, and end-to-end orchestration for building scalable, context-aware AI applications used in production environments.
- LangChain
- ChromaDB
- Pinecone
- FAISS
AI Ethics, Bias, and Responsible Use
Develop a responsible approach to building and deploying AI systems by understanding ethics, fairness, bias, privacy, transparency, and hallucination mitigation. Learn industry best practices for creating trustworthy AI applications that align with governance standards and deliver reliable, safe, and explainable AI experiences.
- Guardrails AI
- LangSmith
- OpenAI Moderation API
MLOps and Deployment
Learn how to deploy, monitor, and manage production-ready AI applications using modern MLOps practices. Understand API development, model packaging, containerization, deployment workflows, version control, monitoring, and scalable infrastructure to confidently move AI models from development into real-world production systems.
- Docker
- FastAPI
- MLflow
- Kubernetes
Domain Specialization: Healthcare
Discover how Generative AI is transforming healthcare through AI automation, clinical decision support, and medical data analysis. Explore healthcare use cases including medical documentation, patient insights, clinical research, drug discovery, and AI-powered workflows designed for modern healthcare organizations.
- FHIR
- PubMed API
- BioBERT
Domain Specialization: Business and Marketing
Learn how businesses use Generative AI to improve customer experiences, automate workflows, and optimize marketing strategies. Explore how Generative AI and workflow automation streamline content creation, customer support, lead management, campaign optimization, and business operations using AI-powered workflows.
- GitHub
- Vercel
- Render
Domain Specialization: Business and Marketing
Learn how businesses use Generative AI to improve customer experiences, automate workflows, and optimize marketing strategies. Explore how Generative AI and workflow automation streamline content creation, customer support, lead management, campaign optimization, and business operations using AI-powered workflows.
- GitHub
- Vercel
- Render
IBM | Industry Partnership
Industry Partnership Courses Offered in Association with IBM
The PG Diploma in Business Analytics Next-Gen AI includes add-on programs offered in collaboration with IBM. These programs feature guided labs delivered through the IBM Learning Management System, enabling hands-on experience in analytics, AI, and cloud-based technologies. With real-world, case-driven learning aligned to industry standards, learners gain practical exposure to data analytics, machine learning, and AI applications. Backed by IBM’s global credibility, these IBM analytics certifications strengthen employability and prepare professionals for high-demand roles in analytics and AI-driven business environments.
IBM Modules
Prompt Engineering Essentials
Generative AI Models for Natural Language (NLP & NLU)
Introduction to Cognos Analytics
Data Analysis & Visualization with IBM Tools
IBM Guided Labs
Build an AI-Powered Assistant using Generative AI
Analyze Business Trends with Interactive Dashboards
Market Basket Analysis for Customer Insights
Predictive Analytics for Business Decision-Making keep yhen in tabular form
Tools & Technolog
Tools You Will Learn in Advanced Generative AI Tools & Technologies You'll Master Throughout the Course e
In our Gen AI Course, you will gain hands-on experience with industry-leading AI frameworks, LLM platforms, and production deployment technologies used to build real-world AI applications. From Python fundamentals and Machine Learning to OpenAI API, Hugging Face Transformers, LangChain, vector databases, Prompt Engineering, Retrieval-Augmented Generation (RAG), MLflow, Docker, and cloud deployment across AWS, Microsoft Azure, and Google Cloud Platform (GCP), the technology stack reflects the skills organizations expect from modern AI professionals. Through practical labs, real-world projects, and a capstone project, you will develop the expertise required to design, build, deploy, and scale production-ready Generative AI applications with confidence.
Python
SQL
Pandas
NumPy
Matplotlib
Seaborn
TensorFlow
PyTorch
Apache Spark
MySQLCurriculum
Skills You Will Learn in Generative AI course
Python for AI
Machine Learning
Deep Learning
Generative AI
prompt Engineering
LLM Development
RAG Systems
OpenAI API
LangChain
AI Agents
MLOps & LLMOps
Docker & Containers
Cloud AI Deployment
Responsible AI
Curriculum
Certification You Will Earn
Upon successfully completing the Generative AI Certification Course, you will earn an industry-recognized Generative AI Certification from Win In Life Academy. This certification validates your practical expertise in LLMs, Prompt Engineering, AI Agents, Retrieval-Augmented Generation (RAG), MCP, and AI application development. It strengthens your resume, enhances your LinkedIn profile, showcases industry-ready skills to recruiters, and supports career progression by demonstrating your ability to build and deploy production
Win In Life Academy Certificat
Globally recognized diploma certificatio
IBM Module Certification
Prompt Engineering, Cognos Analytics, Generative AI & IBM lab
Note:
Successfully completing this AI certification course earns you a GenAI Production Course certification from 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.
Gen AI Engineering Roles this Course Prepares You For
Gen AI Engineer
₹6 LPA – ₹12 LPA
₹12 LPA – ₹20 LPA
₹25 LPA – ₹40 LPA+
LLM Engineer
₹6 LPA – ₹12 LPA
₹12 LPA – ₹22 LPA
₹30 LPA – ₹50 LPA+
MLOps / LLMOps Engineer
₹12 LPA – ₹20 LPA
₹6 LPA – ₹12 LPA
₹25 LPA – ₹35 LPA+
AI Application Developer
₹5 LPA – ₹10 LPA
₹12 LPA – ₹20 LPA
₹20 LPA – ₹28 LPA+
RAG / AI Systems Engineer
₹6 LPA – ₹12 LPA
₹12 LPA – ₹22 LPA
₹28 LPA – ₹45 LPA+
AI Deployment & Cloud Engineer
₹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.
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WILA's hands-on training and mentorship helped me grow professionally and gave me career direction.
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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 Generative AI course
This course is designed for learners at every career stage—from fresh graduates to experienced professionals seeking advanced AI skills and a globally recognized Generative AI Certification.
Globally Accredited Programs
Industry-Aligned Curriculum
Industry Expert Mentors
72% placed within 6 Months
Real-World Projects
Flexible Learning Modes
Ready to Transform Your Career
Join hundreds of professionals who launched their careers in
digital marketing and AI with Win In Life Academy
FAQ
Frequently Asked Question (FAQs)
Ready to Transform Your Career
Join hundreds of professionals who launched their careers in digital marketing and AI with Win In Life Academy
What is Generative AI?
Generative AI is a branch of artificial intelligence that creates new content, including text, images, code, audio, and videos, using large language models (LLMs) and deep learning. It powers AI assistants, chatbots, automation tools, and modern enterprise applications across multiple industries.
What skills will I learn?
You will learn Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Model Context Protocol (MCP), Python, AI application development, deployment, and production AI workflows through hands-on projects designed to build practical, job-ready expertise.
Is Generative AI a good career?
Yes. Generative AI is among today’s fastest-growing technology fields, creating opportunities across software development, healthcare, finance, marketing, cybersecurity, and enterprise automation. Professionals with practical GenAI skills are increasingly in demand as organizations accelerate AI adoption.
Is coding mandatory for this Generative AI course?
This is a support-based business analytics course with placement assistance. You receive mentorship, resume building, and interview preparation, but placement depends on your performance.
Can beginners join this Generative AI course?
Yes. This course is designed for beginners, students, graduates, software developers, IT professionals, and career switchers. It starts with foundational concepts before progressing to advanced topics, allowing learners to build practical Generative AI skills step by step.
Which programming language is used in this course?
Python is the primary programming language taught throughout the course because it is the industry standard for AI and machine learning. You will also work with APIs, libraries, frameworks, and tools commonly used to build Generative AI applications.
What projects will I build during the course?
You will build practical, portfolio-ready projects such as AI chatbots, Retrieval-Augmented Generation (RAG) systems, AI-powered document assistants, intelligent automation workflows, and production-ready applications using modern frameworks, APIs, vector databases, and cloud deployment techniques.
Will I learn AI Agents in this course?
Yes. The curriculum includes AI Agents, covering their architecture, workflows, memory, planning, tool integration, and real-world implementation. You will learn how to build autonomous AI systems capable of solving complex business problems using modern frameworks.
Will I receive lifetime access to the course?
Yes. Learners receive lifetime access to recorded sessions and course materials, allowing them to revisit concepts, practice hands-on exercises, review updated content, and continue learning as Generative AI technologies and industry best practices evolve.
. Is internship support available with this course?
Yes. Eligible learners receive internship support through practical projects, guided mentorship, and industry-oriented assignments that provide real-world exposure. This experience helps strengthen technical skills, build a professional portfolio, and improve career readiness for Generative AI roles.