Generative AI & AI Career Accelerator

GSDC Authorized Training Partner

A hands-on, 16-week AI career courses designed to help you break into AI roles—no coding background needed.

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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

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Hands-On Learning & Live Classes

Over 16 weeks of live, instructor-led sessions with structured weekend schedules to fit your routine. Learn through direct interaction, peer discussions, and collaborative practice.

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.

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.

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

Deep Learning and Neural Networks

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

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
Ensemble Techniques: Random Forests, Gradient boosting machines

Unsupervised Learning: Clustering

Generative AI and Agentic AI

Introduction to Artificial Intelligence, Generative AI and Agentic AI
Generative Models (GANs, VAEs Diffusion Models, Large Language Models)
Understanding Large Language Models
Evolution of Large Language Models (LLMs)
Introduction to LangChain
Prompt Engineering Fundamentals
Advanced Prompting Techniques (Chain-of-Thought, Few-Shot, ReAct)

Statics and Data Analytics

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

Probability Distributions

Random variables and probability distributions
Continuous and Discrete distributions
Binomial Distribution
Normal and Standard Normal Distribution

Descriptive Statistics

Measures of central tendency
Measures of dispersion
Visualizations
Outlier Detection
Covariance and correlation
NumPy for mathematical computing
Data manipulation using Pandas
Data visualization with Matplotlib and Seaborn
Data Pre-Processing
Web Scraping Using Beautiful-soup

Fine-Tuning vs Prompt Engineering
Working with OpenAI, Ollama, and
Open-Source Models
Introduction to LangChain
Building AI Chatbots
Retrieval-Augmented Generation (RAG)
Vector Databases and Embeddings
Designing and Building AI Agents
Tool Calling and Function Calling
Multi-Agent Systems
Memory in AI Agents
Planning and Reasoning in Agents
Agent Workflows with LangGraph
CrewAI and AutoGen Frameworks
Local LLM Deployment using Ollama
Model Evaluation and Guardrails
Responsible AI and AI Safety

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, NumPy, Pandas, Matplotlib, Seaborn, BeautifulSoup, Scikit-learn, TensorFlow, OpenAI API, LangChain, Huggingface, Ollama, Crew AI, AutoGen

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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.

Watch Webinar Recordings of Utkarsh Sharma