Generative AI & AI Career Accelerator

A hands-on, 12-week AI career courses designed to help you break into AI roles—no coding background needed.

About the Program

Preptiv's AI & GenAI training online is built for working professionals and career switchers eager to enter the fast-growing world of Artificial Intelligence. This beginner-friendly, outcome-driven program focuses on Generative AI, Prompt Engineering, Applied Data Science, and AI product thinking—no prior technical experience required.

Program Highlights

No coding background required
Built by AI practitioners and startup leaders
Real-world, project-based learning
Career mentorship and resume support
Flexible schedule designed for working professionals
100% placement guidance & mock interviews

Enroll Now

Hands-On Learning & Live Classes

Over 12 weeks of live, instructor-led sessions with structured weekend schedules to fit your routine. Learn through direct interaction, peer discussions, and collaborative practice.

Career-Focused Skill Building

From prompt engineering to AI product workflows and data thinking, the curriculum is built for real-world jobs. You'll also work on a Capstone Project to showcase your skills.

Build Real AI Projects

Get hands-on experience working with real datasets, building GenAI apps using tools like ChatGPT, Claude, and Gemini—all without needing a coding background.

Complete Career Readiness

Resume reviews, mock interviews, and personalized guidance ensure you’re fully prepared to enter the job market with confidence.

Dive Into the New Age of Accelerated AI Learning

Our Course Content

Python for AI & SQL

Introduction to Data Science using Python
Python basic constructs
Data types in Python
Conditional Statements, Iterative Statements
Functions in Python, OOP in Python
File Handling, Exception Handling
Databases and SQL, Regular Expressions

Machine Learning made easy

➢ Supervised Learning

Regression

Linear Regression
Multiple and Polynomial regression● Regularization, Ridge and Lasso regression

Classification

Logistic Regression
K Nearest Neighbours
Decision Trees
Naïve Bayes
Support Vector Machine
Ensemble Techniques: Random Forests, Gradient boosting machines

➢ Unsupervised Learning

Clustering
Principal Component Analysis

Statistics & Data Analysis

Probability

Basic Terminology: Events, Sample Space, Experiment, types of events
Probability & Conditional Probability
Multiplication theorem
Partition of sample space, Theorem of total probability
Bayes' theorem
Random variables and probability distributions
Continuous and Discrete distributions
Binomial Distribution
Normal and Standard Normal Distributions

Descriptive Statistics

● Measures of central tendency
● Measures of dispersion
● Visualizations
● Outlier Detection
● Covariance and correlation

Inferential Statistics

● Central Limit Theorem
● Confidence interval and confidence level
● Hypothesis testing: Null and Alternate hypothesis
● P value, Significance level
● Statistical tests

➢ NumPy for mathematical computing
➢ Data manipulation using Pandas
➢ Data visualization with Matplotlib and Seaborn
➢ Data Pre-Processing
➢ Web Scraping Using Beautifulsoup

AI , Deep Learning , Neural Networks, Computer Vision

Introduction to Deep Learning and Neural Networks
Introduction to Linear Algebra
Artificial Neural Networks
Neurons, Layers and Activation Functions
Convolutional neural networks - Computer Vision
Convolution Operation, Pooling, Padding and Strides
Transfer Learning (LeNet 5, Alex Net, VGG 19 & 16, ResNet, Inception V3)
Recurrent neural networks - Natural Language processing
Computer Vision & Natural Language processing using CNNs & RNNs

Tableau and Power BI

Power BI

Introduction to PowerBI
Power Query
DAX
Functions
Visualizations
Reports
Dashboards

Tableau

Introduction to Tableau
Tableau UI, Connecting to Excel files
Tableau Charts and graphs
Functions
Reports
Dashboards

Generative AI, LLMs & Agentic AI

Generative models
Types of Models (GANs, VAEs Diffusion Models, Large Language Models)
Understanding Large Language Models (ChatGPT, LLaMA, etc.)
Tokenization, temperature, fine-tuning explained simply
Build your own chatbot using OpenAI API (guided session)
Project: Create an AI Resume Coach Bot
Training Process and applications

Discover how Agentic AI enables systems with tools like AutoGPT and LangChain

Prompt Engineering & No-Code AI

Prompt frameworks: A.C.T., R.A.G.E, Chain-of-Thought
Image, text & audio generation using free tools
AI tools for non-coders (e.g., Pictory, Synthesia, Notion AI)
Project: Create a video resume using AI tools

Capstone Projects (Domain-Based)

Marketing: Lead scoring & content writing AI
Healthcare: Predicting patient readmission
HR: Resume filtering AI using NLP
E-commerce: Product recommendation engine
Education: Personalized study plan generator
IT: AI-powered Incident Ticket Classifier

Major Tools covered:

Python, SQL, NumPy, Pandas, Matplotlib, Seaborn, BeautifulSoup, Scikit-learn, TensorFlow/PyTorch, Power BI, Tableau, OpenAI API, AutoGPT, LangChain, Pictory, Synthesia, Notion AI., Huggingface, LLaMA

Download Brochure

Meet Your Trainer :

Utkarsh Sharma

Senior Manager – Data Science & AI , Alumni: IIT Roorkee PGP Generative & Agentic AI

A seasoned Data Science and AI expert with 10+ years of experience leading teams and training over 8,000+ professionals across top institutions and global enterprises. As a lead trainer and consultant, he has delivered impactful programs in Generative AI, Machine Learning, and Deep Learning for organizations like EY and College of engineering Pune.