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Techcadd
Techcadd AI Program

Master In-Demand Artificial Intelligence Skills

A project-based Artificial Intelligence course covering machine learning, deep learning, NLP, computer vision, and generative AI — built to take you from fundamentals to a job-ready AI portfolio.

Tools You'll Master
Python TensorFlow PyTorch Scikit-learn OpenAI API Hugging Face

A Trusted AI Training Partner for Career-Ready Professionals

Our Artificial Intelligence course is designed and continuously refreshed by working AI engineers, so every module maps to the skills companies are actually hiring for.

  • Practical, project-based curriculum — not just theory
  • Industry-aligned syllabus updated every cohort
  • Mentorship from working AI engineers
15+Years of Experience

Training IT professionals in Mohali & Chandigarh

10,000+Students Trained

Across AI, data science & software programs

100%Placement Assistance

Resume, interview prep & hiring drives

ISOCertified Institute

Recognized training & certification standards

Course Details

Artificial Intelligence Course Details at a Glance

Everything you need to know before you enrol — built for freshers, developers, and working professionals moving into AI.

Duration

4 to 6 months, depending on batch pace

Mode of Learning

Classroom training in Mohali & Chandigarh, plus live online batches

Eligibility

Class 12 pass-outs, graduates, IT professionals & career switchers — beginner friendly

Batch Options

Weekday, weekend and evening batches for working professionals

Certification

Industry-recognized Techcadd Artificial Intelligence Certificate on completion

Fees

Affordable fee structure with EMI options — ask your counsellor for the current fee sheet

Course Curriculum

Our AI Course Curriculum Built for Real-World Careers

Module 01

Python & Math Foundations for AI

Build the Python, linear algebra, probability, and statistics foundation every AI engineer relies on before touching a model.

  • Python for data manipulation (NumPy, Pandas)
  • Linear algebra & probability for ML
  • Data cleaning & exploratory analysis
Module 02

Machine Learning Fundamentals

Supervised and unsupervised learning, model evaluation, and feature engineering using industry-standard libraries.

  • Regression, classification & clustering
  • Model evaluation & hyperparameter tuning
  • Scikit-learn pipelines on real datasets
Module 03

Deep Learning & Neural Networks

Design, train, and tune neural networks with TensorFlow and PyTorch, from first principles to CNNs and RNNs.

  • Neural network fundamentals & backpropagation
  • CNNs, RNNs & training optimization
  • TensorFlow & PyTorch hands-on labs
Module 04

Natural Language Processing

Text preprocessing, transformer architectures, and building real NLP applications like classifiers and chatbots.

  • Tokenization, embeddings & text pipelines
  • Transformer architecture fundamentals
  • Sentiment analysis & chatbot projects
Module 05

Computer Vision

Image classification, object detection, and real-time vision pipelines using modern CNN architectures.

  • Image classification & object detection
  • Transfer learning with pretrained models
  • Real-time vision project deployment
Module 06

Generative AI & LLMs

Prompt engineering, retrieval-augmented generation, and building applications on top of large language models.

  • Prompt engineering & LLM APIs
  • RAG pipelines & vector databases
  • Building AI-powered applications
Module 07

MLOps, Deployment & Capstone

Package, deploy, and monitor models in production, then ship a capstone project for your portfolio.

  • Model packaging & REST API deployment
  • Monitoring, versioning & CI/CD for ML
  • Capstone project & portfolio review
Tools & Technologies

Tools & Technologies Powering This AI Course

A hands-on, tool-first curriculum — you'll work directly inside the libraries and platforms used by AI teams in production.

Programming
Python
R
SQL
Bash
Jupyter
VS Code
Data & Machine Learning
NumPy
Pandas
Scikit-learn
XGBoost
Spark
Airflow
Deep Learning
TensorFlow
PyTorch
Keras
ONNX
CUDA
JAX
Generative AI
OpenAI API
LangChain
Hugging Face
Diffusers
LlamaIndex
Claude API
MLOps & Cloud
Docker
Kubernetes
MLflow
AWS SageMaker
Azure ML
GCP Vertex AI
Visualization
Matplotlib
Seaborn
Power BI
Tableau
Plotly
Streamlit

Why Learning AI With Techcadd Is a Smart Move

We built this course around what actually gets AI engineers hired — not just certificates, but a portfolio of projects and the reasoning to defend them in an interview.

  • Hands-on projects across ML, deep learning & generative AI
  • Curriculum refreshed every cohort to match current tools
  • 100% placement assistance with resume & interview prep
  • Backed by 15+ years of IT training experience
AI neural network illustration
Key Benefits

Key Benefits of Learning AI With Techcadd

A training partnership built for measurable outcomes — skills, portfolio, and a clear path into an AI career.

01

Industry-Grade Curriculum

Built and refreshed each cohort by working AI engineers, so every module stays aligned with real hiring requirements.

02

Faster Career Transition

Project-based learning and structured mentorship help you move from fundamentals to a job-ready AI portfolio faster.

03

Affordable, High-ROI Training

Get structured, mentor-led AI training and placement support at a fraction of the cost of ad-hoc online courses.

How You'll Learn

Your Learning Journey, Step by Step

1

Foundations & Environment Setup

Python, math refreshers, and the tooling you'll use throughout the course.

2

Core Machine Learning Labs

Build and evaluate ML models on real datasets, from regression to clustering.

3

Deep Learning & Neural Network Projects

Train CNNs and RNNs with TensorFlow and PyTorch on hands-on projects.

4

NLP & Computer Vision Sprints

Ship focused projects in text and image understanding.

5

Generative AI & LLM Applications

Build applications on top of LLMs with prompting and RAG pipelines.

6

Capstone, Deployment & Placement Prep

Deploy your capstone project and prepare your portfolio for interviews.

Ready to Start Your AI Career?

Join the Artificial Intelligence course in Mohali and build the machine learning, deep learning, and generative AI skills employers are hiring for.

Got Questions?

Frequently Asked Questions

What exactly is covered in this Artificial Intelligence course?

The course covers the full AI stack: Python & math foundations, machine learning, deep learning with TensorFlow and PyTorch, natural language processing, computer vision, and an introduction to generative AI and LLMs — finishing with MLOps deployment and a capstone project.

Do I need a strong math or coding background to join?

No advanced background is required. We start with Python programming and the linear algebra, probability and statistics you need for machine learning, then build up to deep learning and advanced topics step by step.

How long does the course take and what batch options are available?

The program typically runs 4 to 6 months depending on batch pace, with weekday, weekend and evening batches available so working professionals and students can both attend comfortably.

Is this the same as the Generative AI course at Techcadd?

No. This program builds a broad foundation across machine learning, deep learning, NLP and computer vision, with one module introducing generative AI and LLMs. If you want to specialize deeply in LLMs, RAG, AI agents and prompt engineering, our dedicated Generative AI course is the better fit.

Which tools and frameworks will I actually use?

You will work hands-on with Python, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face and the OpenAI API, plus MLOps tools like Docker and MLflow for deployment.

Will I work on real projects, or is this mostly theory?

The course is project-based. You will build ML models, train neural networks, ship NLP and computer vision applications, and complete a capstone project you can showcase in interviews and on your portfolio.

Is job placement assistance included?

Yes. Techcadd provides 100% placement assistance, including resume building, mock interviews, and direct connections with hiring partners across Mohali and Chandigarh.

What certificate do I receive after completing the course?

You receive an industry-recognized Techcadd Artificial Intelligence Certificate covering machine learning, deep learning, NLP, computer vision and generative AI, validating your practical project experience.

What job roles can I target after this course?

Graduates typically move into roles such as AI/ML Engineer, Data Scientist, NLP Engineer, Computer Vision Engineer and Machine Learning Developer, depending on the specialization they lean into during the capstone.

Do you cover model deployment, or just model building?

Yes. The final module covers MLOps — packaging models, deploying them as REST APIs, monitoring and versioning — so you learn to ship models, not just train them in a notebook.

Is there support for beginners with zero prior AI exposure?

Absolutely. The course opens with a dedicated Python and math foundations module built for beginners, and mentors are available throughout for one-on-one doubt-clearing.

How do I get pricing and the detailed syllabus?

Fees, the detailed module-wise syllabus and current batch schedules are shared during a free counselling session — book a free demo class to get the full breakdown.

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