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Gen AI with ML
& Cloud Integration

AI won't replace you — but someone using AI will. Begin your transformative journey into Generative AI and Machine Learning with Cloud Integration. Build real AI products, master LLMs, and launch your career with 100% placement support.

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Students placed
4.9
Google rating
100%
Placement support
8+
Years experience
Course Fee
₹45,000₹62,00027% OFF
No-cost EMI from ₹3,750/month — 3, 6 or 12-month plans
Offer ends in 3 days — batch filling fast
🗓
6 Months
Duration
🎓
Beginner → Pro
Level
💻
Online + Offline
Mode
👥
Max 15/batch
Small batches
🚀  Enroll Now — Secure Your Seat 📅  Book a Free Demo Class
No-cost EMIJob guarantee7-day refund
03 / THE JOURNEY

From day one to
dream offer.

A structured program refined over 8+ years and 5,000+ learners — from Python and ML fundamentals to building and deploying production-ready Generative AI applications.

🤖
01
AI & ML Foundations
Python, statistics, core ML algorithms, neural networks fundamentals. Daily coding assignments & mentor reviews from AI engineers.
02
Deep Learning & GenAI
GANs, VAEs, Transformers, LLMs, GPT-4 & Gemini APIs — build chatbots, image generators, and intelligent automation systems.
03
Cloud & MLOps
AWS SageMaker, Google Vertex AI, Azure ML — deploy scalable AI pipelines with MLOps best practices and CI/CD for AI.
04
Capstone & Placement Sprint
Real-world AI product, portfolio, mock interviews, and dedicated hiring drives with 200+ AI-hiring partner companies.
Program structure

Your path from zero to AI engineer

6-month structured journey — from Python and ML basics to deploying production-grade Generative AI systems on cloud platforms.

Month 1
1
Python & ML Foundations
Python for AI, statistics, supervised & unsupervised ML algorithms — complete foundation every AI engineer needs.
Month 2–3
2
Deep Learning & GenAI
Neural networks, CNNs, RNNs, Transformers, LLMs, GPT-4, Gemini — build intelligent AI applications from scratch.
Month 4–5
3
Cloud AI & MLOps
AWS SageMaker, Google Vertex AI, Azure ML, Docker, CI/CD — deploy and scale AI models in production cloud environments.
Month 6
4
Capstone & Get Hired
End-to-end AI product, portfolio, mock interviews, and placement drives with 200+ AI-hiring partner companies.
🤖 AI Ecosystem

The Gen AI & ML Technology Stack

From foundational ML to frontier LLMs and cloud deployment — every layer of the modern AI stack you'll master in this program.

🧠
Machine Learning
Supervised, Unsupervised, Reinforcement Learning algorithms
🔗
Deep Learning
Neural Networks, CNNs, RNNs, LSTMs, Attention mechanisms
Generative AI
GANs, VAEs, Diffusion models, Transformers, LLMs
☁️
Cloud AI
AWS SageMaker, Google Vertex AI, Azure ML Studio
⚙️
MLOps
MLflow, Docker, CI/CD pipelines for AI model lifecycle
LLM Application Architecture
👤
User
Prompt Input
🔗
LangChain
Orchestration
🗄
Vector DB
FAISS / Pinecone
GPT-4 / Gemini
LLM Response
📱
App / API
FastAPI / Streamlit
80%
of companies actively adopting Gen AI
₹25L+
average salary for AI engineers in India
10x
productivity gain using Gen AI tools
1M+
new AI jobs expected in India by 2027
Gen AI with ML Training Hyderabad
🤖
5,000+
AI professionals trained
About this course

Unlock Your Potential: Gen AI with ML

Unlock your potential with the best Generative AI and Machine Learning with Cloud Integration training in Hyderabad at Medha EduTech! Our comprehensive Gen AI course is designed to equip you with the latest skills required for Industry 4.0, combining the power of AI, Machine Learning, and Cloud Integration.

At our top Generative AI institute in Hyderabad, you'll experience hands-on learning with real-world projects, guided by industry experts. Whether you're an aspiring AI professional, a tech enthusiast, or a seasoned expert looking to upskill, our Gen AI with ML training in Hyderabad is crafted to cater to all your learning needs — covering neural networks, cloud computing, LLMs, and intelligent automation.

🏆 Industry Certification

Earn a prestigious certification from a top Gen AI institute in Hyderabad, boosting your credibility and employability.

🔬 Live Projects

Real-world exposure by working on live AI projects and case studies, bridging the gap between classroom and application.

🧑‍🏫 Expert Trainers

Learn from industry experts with years of AI/ML experience ensuring you get the best guidance and real-world insights.

💼 Placement Support

Dedicated internship and placement support helping you kickstart your career in top AI firms across India and globally.

🛠 State-of-the-Art Labs

Experience advanced learning in modern labs equipped with the latest AI tools, GPUs, and cloud platforms.

📈 100% Job Assistance

Resume prep, mock interviews, LinkedIn optimization, and direct referrals to 200+ AI-hiring partner companies.

What is Gen AI

What is Generative AI & Why is It Important?

Generative AI, powered by Machine Learning (ML), is revolutionizing industries by creating human-like text, images, and even videos. It enables machines to generate content that is not only realistic but also highly personalized — making it a game-changer in marketing, entertainment, healthcare, and customer service.

From automating content creation and enhancing chatbots to enabling intelligent diagnostics in healthcare, the applications of Generative AI are endless. This transformative technology is at the heart of Industry 4.0, driving digital transformation and intelligent automation across every sector.

📝
Content Creation
Automate text, image, video, and music generation at scale.
🤖
Intelligent Chatbots
Build AI assistants that understand and respond like humans.
🏥
Healthcare AI
AI-powered diagnostics, personalized treatment, and drug discovery.
🏭
Smart Manufacturing
Industry 4.0 — IoT, cyber-physical systems, and AI-driven automation.
Generative AI Applications
What you'll learn

Core Topics in Gen AI & ML

Our Gen AI course in Hyderabad is designed to equip you with the skills needed to excel in the world of AI and Machine Learning — from fundamentals to frontier models.

🧠
Fundamentals of AI & ML
Build a strong foundation by understanding key concepts, Python for AI, statistics, and algorithms that power artificial intelligence and machine learning.
🔗
Neural Networks & Deep Learning
Dive deep into advanced neural networks — CNNs, RNNs, LSTMs, Attention mechanisms — and master deep learning to create powerful AI models.
✍️
NLP & Computer Vision
Explore Natural Language Processing and Computer Vision to develop AI systems capable of understanding text and images like humans.
💬
Chatbots & Virtual Assistants
Learn to design intelligent chatbots and virtual assistants using LangChain, RAG pipelines, and GPT-4 / Gemini APIs for natural conversations.
OpenAI & Google AI Models
Hands-on experience with GPT-4, Gemini, DALL-E, and Stable Diffusion — keeping you at the forefront of AI innovation and LLM applications.
🏗
Hands-on AI Projects
Work on real-world projects — chatbots, image generators, AI pipelines, and cloud-deployed ML models — ensuring practical AI expertise.
Who can join

This course is for everyone

Generative AI and Machine Learning is transforming every industry. Whether you're starting fresh or upskilling, this course prepares you for the AI-driven future.

Prerequisites
Basic understanding of Python programming
Foundational mathematics (statistics helpful)
Curiosity about AI and technology
Eagerness to build real-world AI applications
🌱
Students & Freshers
Looking to acquire future-ready AI skills and launch a career in one of the fastest-growing and highest-paying fields in technology.
📈
Working Professionals
Aiming to upskill for career growth — add Gen AI expertise to your resume and transition into AI-focused roles at leading companies.
🚀
Entrepreneurs & Freelancers
Seeking automation and business scaling solutions — leverage Gen AI to build products, automate workflows, and create new revenue streams.
🔬
AI/ML Enthusiasts
Eager to dive into advanced technologies — Industry 4.0 innovators ready to explore frontier models, LLMs, and cutting-edge AI research.
Learning outcomes

What You'll Be Able to Do After This Course

🏗
Build & Deploy Gen AI Models
Understand and implement Generative AI models (GANs, VAEs, Transformers) and deploy them in production cloud environments.
☁️
Cloud AI Deployment
Deploy ML models in cloud environments using AWS SageMaker, Google Vertex AI, and Azure ML for scalable AI applications.
🛠
End-to-End AI Pipelines
Develop, deploy, and maintain end-to-end AI/ML pipelines in cloud-native environments with MLOps best practices.
Model Optimization
Optimize AI models for scalability, performance, and cost efficiency — fine-tuning LLMs and deploying with quantization.
🔒
Ethical AI Practices
Implement ethical AI ensuring fairness, privacy, transparency, and compliance with AI governance frameworks.
🏭
Industry 4.0 Integration
Integrate cyber-physical systems, IoT, and cloud computing for AI-driven applications in smart manufacturing and automation.
Our Mission

Our Mission & Core Goals

Our mission for the Gen AI with ML training in Hyderabad is to empower aspiring AI professionals with high-quality, practical training. We strive to bridge the skills gap through expert-led instruction, hands-on AI projects, and a focus on the latest Gen AI tools and cloud platforms — equipping students for successful careers in the rapidly growing AI industry.

🛠
Skill Development
🔬
Hands-on Learning
🏭
Industry Relevance
💼
Career Readiness
🧑‍🏫
Expert Guidance
🤝
Placement Support
Medha EduTech
Gen AI tools

Tools & Technologies

Generative AI tools are transforming industries with automation and efficiency. Master every tool that modern AI engineers use to build, deploy, and scale AI applications globally.

Python 3.x TensorFlow PyTorch Scikit-learn Hugging Face LangChain GPT-4 / ChatGPT API Google Gemini API DALL-E / Stable Diffusion FAISS / Pinecone AWS SageMaker Google Vertex AI Azure ML Studio MLflow Docker & Kubernetes FastAPI / Streamlit Pandas & NumPy Matplotlib / Plotly Jupyter Notebooks Git & GitHub
Course curriculum

Gen AI & ML Mastery in 6 Months

8 comprehensive modules — from Python and ML fundamentals to deploying production-grade Generative AI systems on cloud platforms.

🤖 Program Snapshot
Duration6 Months
Total modules8 modules
Live projects6 projects
Weekly classes5 days/week
ModeOnline + Offline
Cloud coverageAWS · GCP · Azure
01
Python for AI & ML Fundamentals
Python · NumPy · Pandas · Statistics · EDA
12 Classes
Python for AI
Python basics & data structures
NumPy arrays & operations
Pandas for data manipulation
Matplotlib & Seaborn visualization
Statistics & EDA
Descriptive & inferential statistics
Probability & distributions
Exploratory Data Analysis (EDA)
Feature engineering & preprocessing
🏆 Project 1: Real-world data analysis & EDA report
02
Machine Learning Algorithms
Supervised · Unsupervised · Ensemble · Model Evaluation
16 Classes
Supervised Learning
Linear & Logistic Regression
Decision Trees & Random Forest
SVM, KNN, Naive Bayes
Gradient Boosting, XGBoost
Unsupervised & Evaluation
K-Means & DBSCAN clustering
PCA & dimensionality reduction
Cross-validation techniques
Model evaluation metrics
🏆 Project 2: End-to-end ML pipeline with Scikit-learn
03
Deep Learning & Neural Networks
TensorFlow · PyTorch · CNN · RNN · LSTM · Attention
18 Classes
Neural Network Fundamentals
Perceptrons & activation functions
Forward & backpropagation
Optimization: SGD, Adam, RMSprop
Regularization: Dropout, BatchNorm
Advanced Architectures
CNNs for computer vision
RNNs & LSTMs for sequences
Attention mechanism & Transformers
Transfer learning & fine-tuning
🏆 Project 3: Image classification + sentiment analysis models
04
Generative AI Models
GANs · VAEs · Diffusion Models · Stable Diffusion
14 Classes
Generative Models
GANs — Generator & Discriminator
Variational Autoencoders (VAEs)
Diffusion models fundamentals
Stable Diffusion — text to image
Applications
Image synthesis & style transfer
Data augmentation with GANs
Text-to-image prompt engineering
DALL-E & Midjourney API usage
🏆 Project 4: AI image generator application
05
Large Language Models & NLP
GPT-4 · Gemini · LangChain · RAG · Fine-tuning
16 Classes
LLM Fundamentals
Transformer architecture deep dive
BERT, GPT-4, Gemini — comparison
Prompt engineering techniques
Fine-tuning LLMs with PEFT/LoRA
LLM Applications
LangChain framework & chains
RAG (Retrieval Augmented Generation)
Vector databases: FAISS, Pinecone
Building AI chatbots & assistants
🏆 Project 5: Custom AI chatbot with RAG pipeline
06
Cloud AI & ML Services
AWS SageMaker · Google Vertex AI · Azure ML
14 Classes
AWS AI Services
AWS SageMaker — train & deploy
AWS Bedrock for foundation models
S3, Lambda for AI pipelines
Amazon Rekognition & Comprehend
Google Cloud & Azure
Google Vertex AI pipeline
Google AI Studio & Gemini API
Azure ML Studio workflow
Azure OpenAI Service integration
07
MLOps & AI Deployment
MLflow · Docker · CI/CD · FastAPI · Monitoring
12 Classes
MLOps Practices
MLflow for experiment tracking
Model versioning & registry
Docker containerization for AI
CI/CD pipelines for ML models
API & Monitoring
FastAPI for model serving
Streamlit for AI dashboards
Model monitoring & drift detection
Kubernetes for AI scaling
08
Capstone Project & Placement Sprint
End-to-End AI Product · Portfolio · Interviews
10 Classes
Capstone AI Project
End-to-end Gen AI application
LLM + RAG + Vector DB pipeline
Deployed on AWS/GCP with FastAPI
MLflow tracking + Docker CI/CD
Placement Preparation
AI portfolio & GitHub profile
Resume & LinkedIn optimization
Mock technical interviews (15+ rounds)
AI/ML interview Q&A preparation
Salary negotiation coaching
🏆 Project 6: Production-ready Gen AI SaaS application
Career opportunities

Job Opportunities in Gen AI & ML

Gen AI and ML professionals are among the highest-paid in tech. Here are the roles our graduates secure across top companies in India and globally.

🤖
AI/ML Engineer
Build, train, and deploy machine learning models and AI systems that solve real-world business problems at scale.
Generative AI Developer
Build applications using LLMs, LangChain, RAG pipelines, and fine-tuned models for enterprise AI products.
🔬
Data Scientist
Analyze complex data, build predictive models, and deliver actionable insights to drive business decisions.
☁️
Cloud AI Engineer
Deploy and manage AI/ML workloads on AWS, Google Cloud, and Azure using SageMaker, Vertex AI, and Azure ML.
⚙️
MLOps Engineer
Build and maintain ML pipelines, CI/CD for AI, model monitoring, and automated retraining workflows in production.
🧠
NLP / Computer Vision Engineer
Specialize in natural language processing or computer vision — building models for text, speech, image, and video AI.
Hiring partners

We Are Your Right Choice

Our Gen AI graduates secure roles at top companies across India and globally. Dedicated placement support — portfolio building, mock interviews, and direct referrals to 200+ AI-hiring partners.

Google
Microsoft
Amazon AWS
IBM
TCS
Infosys
Wipro
Cognizant
Accenture
Deloitte
HCL
Tech Mahindra
OpenAI Partners
NVIDIA
Fractal AI
Tiger Analytics
Student reviews

5,000+ AI engineers. Real stories.

★★★★★

The LLM and LangChain modules were absolutely next-level. I went from knowing basic Python to building a production RAG chatbot deployed on AWS within 5 months. Got placed at a top AI startup with ₹18 LPA package.

AK
Arjun Kumar
Generative AI Developer
@ AI Startup — ₹18 LPA
★★★★★

The cloud AI section covering AWS SageMaker and Google Vertex AI gave me a massive edge. I'm now deploying ML models at scale at Infosys. The capstone project portfolio was what sealed my offer — real production-grade work.

SR
Sneha Reddy
ML Engineer
@ Infosys AI — ₹14.5 LPA
★★★★★

Coming from a non-tech background, the structured path from ML fundamentals to GenAI was perfect. The mentor support was exceptional. I now work as a Data Scientist at Fractal Analytics — best career decision I ever made!

VN
Vikas Nair
Data Scientist
@ Fractal Analytics — ₹16 LPA
FAQ

Frequently
Asked Questions

Our counsellors are available 9 AM – 9 PM every day. Have something specific? Talk to us directly.

Talk to a counsellor
Who can learn Gen AI & Machine Learning?+
Our program is designed for students and freshers looking for future-ready skills, working professionals aiming to upskill, entrepreneurs seeking automation solutions, and AI/ML enthusiasts eager to dive into advanced technologies. Anyone with a basic understanding of Python and mathematics can join.
Do I need prior AI or ML experience?+
No prior AI or ML experience is required. We start from Python fundamentals and statistics, and progressively advance to deep learning, LLMs, and cloud deployment. The curriculum is designed to take you from beginner to job-ready AI engineer in 6 months.
What makes this course different from others?+
Our course uniquely combines Generative AI, Machine Learning, AND Cloud Integration (AWS + Google Cloud + Azure) in one program — making you a complete AI engineer. You'll build 6 real projects, learn the latest LLMs and tools (GPT-4, Gemini, LangChain), and receive 100% placement support.
Will I work on real AI projects?+
Yes — 6 hands-on projects including an ML pipeline, image generator, AI chatbot with RAG, cloud AI deployment, and a production-ready Gen AI SaaS application as the capstone. You'll graduate with a portfolio that showcases real, working AI applications to employers.
Which cloud platforms are covered?+
Module 6 covers all three major cloud platforms: AWS SageMaker & Bedrock, Google Vertex AI & Gemini API, and Azure ML Studio & Azure OpenAI Service. You'll learn to deploy and manage AI models on all three — giving you a massive advantage in the job market.
Are there EMI options available?+
Yes — 0% interest EMI is available through our banking partners in 3, 6, or 12-month plans. We have flexible payment modes to ensure the course is accessible to everyone. Contact our counselling team for personalised payment guidance.
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Start your AI journey

Your AI career starts
with one decision.

Join 5,000+ AI professionals who built their careers with Medha EduTech, Hyderabad. AI won't replace you — but someone using AI will!

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