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Build Real-World AI Skills in 4 Months

Project-Based AI Training

Transition Towards AI Roles with Hands-On Projects 🗨️ Build ChatGPT-like apps using LLMs & RAG 🤖 Create AI agents & automation workflows

🌩️ Deploy real AI systems using APIs & cloud

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What You will Learn in the Program?

  • Module 1

    Python for AI Engineering

    Online Live Training
    • Python fundamentals & core data structures
    • NumPy, Pandas for data handling
    • Data cleaning & preprocessing basics
    • Data analysis & simple visualization
    • Writing modular and reusable code
    • APIs & JSON for system integration
    • File handling & automation scripts
    • OOP basics for structured programs

    Project – Build a real-world data processing pipeline

    Tools – Python, NumPy, Pandas, Matplotlib

  • Module 2

    Foundations for Generative AI

    Online Live Training
    • ML basics: regression & classification
    • Bias, variance & overfitting concepts
    • Model evaluation (accuracy, precision, recall)
    • Neural networks & deep learning basics
    • Training process: loss & optimization
    • Transformers & attention mechanism
    • Tokenization & sequence modeling
    • How LLMs generate text
  • Module 3

    Generative AI Systems (LLMs + RAG)

    Online Live Training
    • Prompt Engineering (zero-shot, few-shot, CoT)
    • Build AI chatbots and ChatGPT-style applications
    • Work with OpenAI, Claude, Gemini APIs
    • Use Hugging Face transformers & datasets
    • Generate embeddings for semantic search
    • Implement RAG (Retrieval Augmented Generation)
    • Use FAISS, ChromaDB for vector retrieval
    • Build applications using LangChain
    • Optimize responses for accuracy, cost, latency
    • Compare fine-tuning vs RAG vs prompting

    Project – Production-ready AI chatbot with RAG

    Tools – OpenAI, Hugging Face, LangChain, FAISS, ChromaDB

  • Module 4

    Agentic AI & MCP Systems

    Online Live Training
    • Build AI Agents (Agentic AI) using real workflows
    • Implement LangChain agents and tool integrations
    • Design reasoning workflows (ReAct, planning)
    • Enable agents to think, act, and iterate
    • Manage memory and context effectively
    • Develop multi-agent systems
    • Orchestrate using LangGraph, CrewAI
    • Build automation systems using agents
    • Implement Model Context Protocol (MCP)
    • Optimize agent performance and reliability

    Project – Multi-agent AI system with automation workflows

    Tools – LangChain, LangGraph, CrewAI, MCP

  • Module 5

    AI Deployment & LLMOps

    Online Live Training
    • Build and deploy APIs using FastAPI
    • Containerize applications using Docker
    • Deploy AI systems on AWS Cloud
    • Track prompts using LangSmith
    • Monitor latency, cost, and performance
    • Implement evaluation pipelines
    • Optimize systems using caching & batching
    • Implement CI/CD pipelines
    • Debug systems using logging & tracing
    • Apply guardrails for safe outputs

    Project – Deployed production-ready AI application

    Tools – FastAPI, Docker, AWS, LangSmith, CI/CD

  • Module 6

    AI on Cloud (Azure AI-901)

    Online Live Training
    • Learn Azure cloud basics (compute, storage, networking)
    • Understand Azure ecosystem & AI services
    • Deploy simple AI apps on Azure
    • Manage scalability, cost, and resources
    • Map AI systems to cloud architecture
    • Prepare for AZ-901 certification

    Tools – Azure Portal, Azure AI Services

  • Module 7

    Interview/ Certification/ Resume Preparation

    Online Live Training
    • Get Mock Interview Sessions
    • Get guidance to show Projects & Experience in your resume
    • Get Sample Exam Papers for Certifications
    • Build ATS Friendly Resume for better Reach
Download Syllabus

What You Get in This Program

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    100+ Hours Live Training

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    80+ Hours Hands-On Practice

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    8+ Real-World AI Projects

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    Dedicated Mentor Support

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    Learn from Industry Experts

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    Lifetime Access to Sessions

Learn Projects & Assignments Handpicked byIndustry Leaders

Our tutors are real business practitioners who hand-picked and created assignments and projects for you that you will encounter in real work.

siddharth
Neeraj
Nagarjuna
Project 1 Build an Enterprise RAG Assistant for Company Knowledge Bases

Build a production-grade RAG system that can answer questions from PDFs, policies, SOPs, and internal company documents using LLMs and vector databases.

Project 2 - Build a Multi-Agent AI Research Assistant using LangGraph

Create a collaborative AI agent system where multiple AI agents research, analyze, validate, and summarize information autonomously using LangGraph workflows.

Project 3 Build an AI Copilot for Customer Support Automation

Develop an AI-powered customer support assistant integrated with knowledge bases, APIs, and workflow automation to handle real-world support queries.

Project 4 Build an MCP-Based AI Workflow Automation System

Design modular AI systems using MCP (Model Context Protocol) to connect models, external tools, APIs, and workflows into scalable AI applications.

Project 5 Build an AI Resume Analyzer & Interview Copilot

Create an AI system that analyzes resumes, matches job descriptions, generates feedback, and conducts AI-powered mock interview simulations.

Project 6 Build & Deploy a Production-Ready LLM Application

Deploy scalable AI applications using FastAPI, Docker, cloud services, and LLMOps tools with monitoring, observability, and production workflows.

That's what They Said

  • I completed the Generative AI Program at Prepzee, gaining hands-on experience in Python, Prompt Engineering, LLMs, and AI model deployment. The program’s practical approach and great support from the Prepzee team helped me apply AI concepts effectively and advance my career in Generative AI.

    Harsh Raj GenAI Developer @Tata Consultancy Services

    The AI/ML course at Prepzee was an excellent learning experience that combined strong practical application. The clear and engaging teaching approach made complex concepts easy to understand, while hands-on projects and real-world examples strengthened my skills. With a great balance of lessons, interaction, and support, Prepzee proved to be an ideal platform for mastering AI and Machine Learning.

    Narayan Mishra Information Technology Associate @ Amazon

    AI always felt like something only engineers or PhDs could understand. This course completely changed that mindset. The way topics are explained made me realize AI is not as intimidating as it seems. I now use AI tools confidently in my daily work and that's something I never thought would happen.

    Muhammad Danish Software Prod & Plat Eng Asst. Manager At Accenture

  • The GenAI & ML Program has been an amazing learning experience! The ‘learn while you watch the live sessions’ concept really helps me understand each topic step by step. The roadmap, lab project lists, and access to recordings are all provided in advance, which makes it easy to follow along and stay prepared. The faculty are highly skilled and make every session feel like a real hands-on experience. Truly a great way to learn and grow!

    Tausif kazi Technical Architect @Hitachi

    The thing I appreciate the most is that this course doesn't just teach you AI — it makes you think like someone who works in AI. The live sessions, project work, and constant support from the team kept me motivated throughout. If you're on the fence about joining, just go for it. You won't regret it.

    Prakash Gour Raju Data Analytics at American Electric Power

    I've tried learning AI through YouTube and free resources before but always got stuck. This course was different — there's a proper structure, someone to guide you, and a team that actually responds when you need help. It finally made AI click for me in a way nothing else had before.

    Mohshin Sarker Senior Financial Analyst McKesson Canada

  • What makes this course stand out is how real and practical it feels. We weren't just learning theory — we were actually working on AI projects that felt relevant to today's world. The GenAI section especially was eye-opening. This is the kind of course that actually prepares you for the industry.

    Rohan Mulay Chief Manager @ L&T Finance

    Joining this course was one of the best decisions I made this year. The AI curriculum is up to date with what's actually happening in the field right now. I appreciated that it wasn't just about tools — it helped me understand how AI actually works and where it's headed.

    Kevin Keller Kenga Data Scientist

    GenAI sessions were highly interactive and well-structured kuddos to instructor , GenAI and Machine Learning concepts, including model building, data preprocessing, and transformers — all explained with real-world examples. Hands-on practice made learning both engaging and effective. If you’re looking to strengthen your understanding of data analysis, statistics, Python programming, and GenAI/ML, I highly recommend taking his class. It’s perfect for beginners as well as professionals who want to build a strong analytical and AI Knowledge

    Shurti Tawde HR at JM Financial Services Ltd

Skills Covered

Tools Covered

Placement Overview

  • 500+
    Career Transitions
  • 9 Days
    Placement time
  • Upto 350%
    Salary hike

Corporate Training

Train your Employees with Customized Learning
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Generative AI & ML Professional Course

Get Certified after completing this course with Prepzee

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Frequently Asked Questions

Enroll in our Generative AI & ML Job-Oriented Program and take the first step toward a high-impact career in Generative AI. This comprehensive Generative AI course is tailored to provide you with the skills and knowledge needed to excel in the rapidly growing fields of Generative AI & ML. You’ll dive deep into advanced tools and techniques, mastering essential platforms like Python, TensorFlow, PyTorch, SQL, and Generative AI frameworks such as GPT and DALL-E. Through hands-on projects and real-world applications, you'll build expertise in machine learning, deep learning, NLP, and cloud solutions with AWS, equipping you for roles in Generative AI, AI development, and more.

Prepzee offers 24/7 support to resolve queries. You raise the issue with the support team at any time. You can also opt for email assistance for all your requests. If not, a one-on-one session can also be arranged with the team. This session is, however, only provided for six months starting from your course date.

All instructors at Prepzee are certified experts with over twelve years of experience relevant to the industry. They are rightfully the experts on the subject matter, given that they have been actively working in the domain as consultants. You can check out the sample videos to ease your doubts.

Prepzee provides active assistance to all candidates who have completed the training successfully. As part of our AI ML Certificate Program, we also guide candidates in résumé building and job interview preparation to help them land the right role.

Projects included in the training program are updated and hold high relevance and value in the real world. Projects help you apply the acquired learning in real-world industry structures. Training involves several projects that test practical knowledge, understanding, and skills. High-tech domains like e-commerce, networking, marketing, insurance, banking, sales, etc., make for the subjects of the projects you will work on. After completing the Projects, your skills will be synonymous with months of meticulous industry experience.

Actually, no. Our job assistance program, part of the AI and Machine Learning Course, is designed to help you land the job of your dreams. The program offers opportunities to explore competitive vacancies in top companies and find roles that match your profile and skill set. The final hiring decision will always depend on your interview performance and the recruiter’s requirements.

Prepzee's AI Certification course Completion Certificate is awarded once the training program is completed, along with working on assignments, real-world projects, and quizzes, with at least a 60 percent score in the qualifying exam.

Artificial Intelligence (AI) refers to the ability of computer systems to simulate human intelligence processes. It enables machines to perform functions such as decision‑making, problem‑solving, pattern recognition, and understanding natural language — core concepts covered in our AI Learning Course.

AI is widely adopted across industries. In healthcare, it's used for diagnostics and drug discovery; in finance, for fraud detection and algorithmic trading. E-commerce platforms utilize it for personalized recommendations, while manufacturing benefits from automation and predictive maintenance. AI also powers everyday tools like voice assistants and chatbots - key applications explored in our AI Certificate Program.

There are no strict prerequisites to join our Generative AI Course - we start with the basics, including Python, Machine Learning, and Deep Learning. However, a background in a technical field or basic programming knowledge can be helpful.

Python is the leading language in AI and ML development, thanks to its simplicity and extensive ecosystem of libraries such as TensorFlow, PyTorch, scikit‑learn, and Keras. It’s also the foundation of most AI ML certification programs. Other languages like R and Java are used too, but have limited adoption.

Graduates of AI and Machine Learning certificates often pursue roles such as Data Scientist, Machine Learning Engineer, AI Researcher, NLP Engineer, AI Product Manager, and Robotics Engineer. These roles span across multiple sectors, including tech, finance, healthcare, and more.

Start with an AI ML course tailored for beginners. Learn Python, reinforce basic math, and take hands-on projects seriously. Participating in competitions like Kaggle and showcasing a portfolio can help you land internships or entry-level positions. AI ML certificate programs also add credibility to your profile.

A comprehensive generative AI certification program typically includes machine learning, deep learning, computer vision, natural language processing, neural networks, and model evaluation. This programs also integrate real-world projects using tools like TensorFlow and platforms such as Google Colab.

Not necessarily. Many online Ai Ml certificate programs are beginner-friendly and include foundational lessons in Python and math. However, prior exposure to coding and statistics can make the learning curve smoother.

The AI and ML job market is booming globally. With increasing digital transformation, demand for skilled professionals is outpacing supply, creating abundant job opportunities across domains—from startups to Fortune 500 companies. Completing an AI ML Certificate Program can help you stand out in this competitive landscape.

Popular job titles include:
  • Machine Learning Engineer
  • Data Scientist
  • AI Research Scientist
  • NLP Engineer
  • Computer Vision Specialist
  • Robotics Engineer
  • AI Consultant

Begin with an introductory AI and ML course, progress to intermediate and advanced certifications, work on capstone projects, contribute to open-source, and aim for internships. Specializing in niches like NLP, vision, or reinforcement learning can open up more targeted career paths.

In India, entry-level roles typically offer ₹6–10 LPA. Mid to senior-level AI professionals with an AI certification course background can earn ₹25 LPA or more. In the U.S., salaries often range from $100,000 to $150,000 annually, depending on skills and experience.

Top industries include:
  • Healthcare
  • Finance
  • Automotive
  • E-commerce
  • Cybersecurity
  • EdTech
  • Telecommunications
These sectors leverage AI to automate operations, derive insights, and improve customer experiences.

Leading companies hiring AI talent include:
  • Google
  • Microsoft
  • Amazon
  • Meta
  • NVIDIA
  • IBM
  • TCS, Infosys, Wipro (for Indian aspirants)
  • Startups in fintech, healthtech, and SaaS

Yes. Many AI ML certificate programs are structured for working professionals with flexible learning options weekend classes, evening batches, or self-paced modules. This enables career progression without interrupting your current job.

This Ai Ml Certification course typically includes:
  • Languages: Python (main), SQL
  • Libraries/Tools: TensorFlow, Keras, scikit-learn, PyTorch, OpenCV, NLTK
  • Platforms: Google Colab, Jupyter Notebook, AWS/Azure basics

This Agentic AI course is ideal for software engineers, AI/ML professionals, data scientists, and students with a technical background who want to specialize in agent‑based AI systems.

Both Agentic AI and Generative AI are at the forefront of modern AI applications. While Generative AI focuses on creating content such as text, images, and code using LLMs, Agentic AI enables these models to act autonomously. Our Generative AI ML course combined with the agentic AI course equips you to build next‑generation AI solutions.

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