Mohali has emerged as a growing hub for Generative AI training, with several reputed institutes offering job-oriented courses. TechCadd Mohali is a leading IT training institute offering expert-led programs in AI, Data Science, Cyber Security, Cloud Computing, and Digital Marketing, with 100% job assistance and affordable, industry-ready training programs with live projects. Coder Roots TechCadd offers an Advanced Certificate Program in Generative AI, covering chatbot development, AI-driven text tools, Prompt Engineering, and more, taught by certified professionals. DDI Blog Other notable institutes include 4Achievers, offering ChatGPT and Generative AI training covering NLP and GPT models, and Acesoftech Academy, focusing on hands-on Prompt Engineering. TechCadd's 6-month AI program covers Machine Learning, Deep Learning, Generative AI tools like ChatGPT and Gemini, and is ideal for working professionals and students alike.
Training fees in Mohali typically range from ₹15,000 to ₹90,000, with most programs including live projects, placement support, and industry-recognized certification.
Generative AI Training at TechCadd Mohali — Complete Course Overview
Introduction to the Course
The world of Artificial Intelligence is evolving at a breathtaking pace, and at the heart of this revolution lies Generative AI — the technology powering tools like ChatGPT, Google Gemini, DALL·E, Midjourney, and countless enterprise applications reshaping how businesses operate. Professionals who understand Generative AI are among the most in-demand in the global job market today, commanding impressive salaries and opening doors across industries ranging from healthcare and finance to e-commerce and creative media.
TechCadd offers a cutting-edge AI program in Chandigarh, Mohali, and Panchkula designed for rapid upskilling — ideal for working professionals, university students, and tech enthusiasts. The course ensures complete mastery in Machine Learning, Deep Learning, Data Science, Data Analytics, Power BI, Tableau Data Visualization, Prompt Engineering, and AI Tools, allowing learners to efficiently balance their professional and personal commitments. DDI Blog
This course is not merely an introduction to AI tools — it is a structured, industry-aligned program that takes learners from foundational principles all the way to real-world deployment of Generative AI systems. Whether you are a complete beginner or a working professional looking to upgrade your skill set, TechCadd's Generative AI program is designed to make you job-ready and future-proof.
Course Objectives
By the end of this program, students will be able to:
- Understand the theoretical foundations of Generative AI and Large Language Models (LLMs)
- Build, fine-tune, and deploy AI-powered applications using tools like ChatGPT, Gemini, and open-source models
- Write effective prompts using advanced Prompt Engineering techniques
- Develop chatbots, text classifiers, sentiment analyzers, and automation workflows
- Apply Machine Learning and Deep Learning principles to real-world AI projects
- Visualize and analyze data using Power BI and Tableau
- Manage the complete lifecycle of an AI project from data collection to deployment
- Crack technical interviews and secure placements in top IT companies
Who Should Enroll?
This program is suitable for a wide range of learners:
- Fresh graduates (B.Tech, BCA, MCA, BSc Computer Science) looking to break into the AI industry
- Working professionals in IT, marketing, finance, or operations who want to leverage AI in their careers
- Entrepreneurs and business owners seeking to integrate AI into their products and services
- Data analysts and developers who want to upskill and transition into AI/ML roles
- Students in final year looking for meaningful industrial training that enhances their academic profile
There are no strict prerequisites for enrollment. However, a basic understanding of mathematics and a logical mindset are helpful. Training begins coding from scratch, so beginners are welcome to join. Brolly Ai For those interested in advanced AI and ML modules, a basic understanding of programming — preferably Python — and fundamental knowledge of mathematics and statistics is highly recommended to get the most out of the advanced curriculum. 4achievers
Course Duration and Format
The flagship Generative AI program at TechCadd runs for 6 months, making it a comprehensive and thorough learning experience rather than a rushed crash course.
The course features daily weekday batches of 2 hours each, along with special weekend batches designed for working professionals. Brolly Ai This flexibility ensures that both students and employed professionals can pursue the program without disrupting their existing commitments.
TechCadd offers flexible learning options: students can attend classroom sessions at the Mohali center, live online classes with real-time mentor support, or a hybrid mode that combines both online and offline learning. DDI Blog This makes the program accessible to learners across Punjab and beyond, not just those physically located in Mohali.
Detailed Module Breakdown
The Generative AI program at TechCadd is divided into carefully structured modules, each building upon the last to create a holistic and progressive learning journey.
Module 1: Python for AI — Programming Foundations
Every AI journey begins with Python, and TechCadd ensures students develop strong programming fundamentals before advancing to complex AI concepts.
This module covers Python programming from the ground up, including variables, data structures, loops, and functions — the foundation of all data science and AI work. Brolly Ai Students also learn essential libraries including NumPy for numerical computation, Pandas for data manipulation, and Matplotlib for data visualization. These tools are the daily instruments of every AI professional and form the backbone of the entire program.
By the end of this module, students are comfortable writing Python scripts, handling datasets, performing exploratory data analysis, and producing informative visual plots — skills that apply directly to every subsequent topic in the course.
Module 2: Machine Learning — Core Concepts and Algorithms
With programming foundations in place, the course moves into Machine Learning — the engine that powers most modern AI applications, including generative ones.
TechCadd's AI program covers Machine Learning and Deep Learning using scikit-learn, TensorFlow, and Keras. DDI Blog Students in this module learn the difference between supervised, unsupervised, and reinforcement learning, and study key algorithms such as:
- Linear and Logistic Regression
- Decision Trees and Random Forests
- Support Vector Machines (SVM)
- K-Nearest Neighbors (KNN)
- Clustering algorithms (K-Means, DBSCAN)
Each algorithm is taught not just theoretically but through hands-on coding exercises and mini-projects that reinforce understanding. Students also study model evaluation metrics, cross-validation, and hyperparameter tuning — critical skills for building accurate and reliable models.
Module 3: Deep Learning and Neural Networks
This module is where the real magic of AI begins to unfold. Students explore the architecture and working principles of Artificial Neural Networks (ANNs), the building blocks of all modern Generative AI systems.
Topics covered include:
- Perceptrons and multi-layer networks
- Activation functions, backpropagation, and gradient descent
- Convolutional Neural Networks (CNNs) for image recognition
- Recurrent Neural Networks (RNNs) and LSTMs for sequence data
- Transfer Learning and pre-trained models
- Introduction to Transformer architecture — the foundation of GPT and other LLMs
Students use TensorFlow and Keras to build and train neural networks, working on practical projects like image classifiers and text prediction models that demonstrate how deep learning powers real applications.
Module 4: Generative AI — The Core Module
This is the heart of the program and the most anticipated module for most students. Here, learners dive deeply into the world of Large Language Models, Diffusion Models, and Generative Architectures that define modern AI.
Key topics include:
- Understanding GPT (Generative Pre-trained Transformers) architecture
- Working with ChatGPT and the OpenAI API
- Exploring Google Gemini and its multimodal capabilities
- Introduction to open-source LLMs (LLaMA, Mistral, Falcon)
- Image generation using diffusion models (Stable Diffusion, DALL·E)
- Fine-tuning pre-trained models on custom datasets
- Building AI-powered content generation pipelines
- AI ethics, bias, and responsible use of generative systems
Students complete hands-on projects including building their own AI content generator, a text summarizer, and an image description tool — providing tangible portfolio projects for job interviews.
Module 5: Natural Language Processing (NLP) and Prompt Engineering
This module focuses on working with NLP libraries like NLTK and spaCy to create chatbots, sentiment analyzers, and text classification models. It also covers learning Prompt Engineering for Generative AI and conversational systems — skills needed for next-generation AI applications. DDI Blog
Prompt Engineering has emerged as one of the most valuable and sought-after skills in the Generative AI space. Students in this module learn:
- The anatomy of an effective prompt
- Zero-shot, few-shot, and chain-of-thought prompting
- System prompts and role-based instructions
- Prompt optimization techniques for specific tasks
- Building prompt templates for business automation
- Using APIs to integrate LLMs into real applications
By mastering Prompt Engineering, students gain the ability to unlock the full potential of any AI model — a skill that is directly applicable to dozens of job roles across industries.
Module 6: Data Science and Visualization — Power BI and Tableau
No AI professional can operate effectively without the ability to understand, interpret, and communicate data. This module focuses on Data Analytics and Visualization, two highly sought-after skills in the job market.
TechCadd's AI program includes Data Science and Visualization training using Power BI and Tableau DDI Blog — the two most widely used business intelligence tools in the industry today. Students learn how to:
- Connect to diverse data sources and databases
- Create interactive dashboards and reports
- Perform exploratory data analysis using visual tools
- Translate complex data into compelling business insights
- Build and share professional data stories for stakeholders
These skills complement the AI curriculum by enabling students to present AI-generated insights in formats that non-technical stakeholders can understand and act upon — a capability highly valued by employers.
Module 7: Data Preparation and Feature Engineering
This module develops skills in data cleaning, transformation, encoding, and feature selection to build optimized and accurate models — a crucial ability for every AI practitioner. DDI Blog
Real-world data is almost always messy, incomplete, or improperly formatted. This module teaches students how to handle these challenges professionally, covering:
- Handling missing values and outliers
- Encoding categorical variables
- Normalization and standardization techniques
- Feature extraction and dimensionality reduction (PCA)
- Data augmentation strategies for AI training
Students who master this module are far better prepared for real industry work, where clean, ready-to-use datasets are rarely available.
Module 8: End-to-End AI Project Lifecycle and MLOps
This final module provides experience of the complete AI project pipeline — from data collection and feature engineering to big data integration, model deployment, and MLOps — teaching students to manage full-scale AI systems using cloud-based tools and automation frameworks. DDI Blog
Topics covered include:
- Model deployment using Flask, FastAPI, and cloud platforms (AWS, Google Cloud)
- CI/CD pipelines for ML models
- Model monitoring, versioning, and retraining strategies
- Introduction to Docker and containerization for AI apps
- Building and deploying REST APIs that serve AI predictions
- End-to-end capstone project integrating all course learnings
This module ensures students don't just know how to build AI models — they know how to deliver them as working products in real production environments.
Tools and Technologies Covered
TechCadd's AI program covers a complete range of modern technologies: Python, NumPy, Pandas, Matplotlib for programming; scikit-learn, TensorFlow, Keras for Machine Learning and Deep Learning; Power BI and Tableau for Data Science and Visualization; ChatGPT, Gemini, and Google Colab for Generative AI; and Prompt Engineering and Automation Tools throughout. DDI Blog
Additional tools include Git and GitHub for version control, Jupyter Notebooks for interactive coding, and cloud platforms for model deployment.
Projects and Practical Learning
Hands-on coding training at TechCadd focuses on practical learning through real-world projects and live coding sessions. Students gain experience across technologies, building strong skills that improve job readiness in the IT industry. IGM Guru
Students complete multiple projects throughout the course, including:
- An AI-powered chatbot using ChatGPT API
- A sentiment analysis tool for product reviews
- A text summarizer for long documents
- An image recognition classifier using CNNs
- A business intelligence dashboard using Power BI
- A final Capstone Project — a complete, deployable Generative AI application
The curriculum includes multiple minor projects and one major Capstone project where students solve real-world business problems using AI and data — making these portfolio pieces directly demonstrable to employers during interviews. Brolly Ai
Placement and Career Support
TechCadd's placement assistance is a comprehensive module that includes resume building, soft skills development, communication workshops, and multiple mock interviews to prepare students for the corporate world. 4achievers
With a deep network of 200+ hiring partners in QuarkCity and Bestech Business Tower in Mohali, TechCadd ensures students get multiple interview opportunities, maintaining a 95% placement success rate. Great Learning
Career paths available after completing this program include:
- Generative AI Engineer — ₹8L–₹20L LPA
- Machine Learning Engineer — ₹7L–₹18L LPA
- Data Scientist — ₹6L–₹16L LPA
- AI Prompt Engineer — ₹5L–₹12L LPA
- AI Product Manager — ₹10L–₹22L LPA
Conclusion
TechCadd's Generative AI course in Mohali is one of the most comprehensive, practical, and career-focused AI programs available in the Tricity region. With its depth of curriculum, experienced trainers, hands-on project approach, and strong industry connections, it provides everything a learner needs to transition into one of the most exciting and lucrative technology fields of the decade.
TechCadd doesn't just teach technology — it brings technology to life through innovative teaching methods. Morph Academy For anyone serious about building a future in Artificial Intelligence and Generative AI, this course is the most strategic investment they can make in their career today.
