AI Certification Training

Master AI with hands-on training in ML, Deep Learning, NLP, and Generative AI. Gain real-world skills, mentorship, and certification to accelerate your career.

4.8

★★★★★ 4.8/5

Overview of Course

Step into the world of AI with a curriculum designed for both beginners and aspiring professionals. Through case studies and applied tools, this program equips you with the know-how to drive AI-enabled solutions in real environments. From understanding model architectures to interpreting results, you’ll gain a holistic understanding of AI’s role in modern business contexts.

What You’ll Learn

Core Foundations

Fundamentals of Artificial Intelligence and Machine Learning
AI workflows, data pipelines, and system architecture
Key algorithms: from decision trees to neural nets

Beginner-Friendly Introduction

Understanding the role and responsibilities of an AI Practitioner
Basics of data handling, preprocessing, and exploratory analysis
Documentation and reporting practices

Project Management and Governance

Integrating AI projects with Agile and SDLC frameworks
Scope, time, and cost management in AI deployments
Ensuring quality via validation/testing, risk mitigation, and ethical considerations

Applied AI Techniques

Understanding business requirements and translating them into AI objectives
Working with popular ML tools (e.g., TensorFlow, PyTorch, scikit-learn)
Model deployment, monitoring, and maintenance

Throughout the course, you’ll be guided through assignments that reinforce your learning. Our goal is to develop both your technical acumen and strategic thinking—so when you’re done, you’re truly ready for the challenges of AI roles.

Live, Real-World AI Projects

Theory alone won’t cut it. That’s why this course includes immersive, real-time project collaborations. You’ll:

Build tangible work samples that shine on your resume
Fine-tune your interview and resume skills through mentorship
Tap into our placement network including partners across MNCs and Fortune 500 companies—for career opportunities

Key Features

Hands-On Learning with Live Projects – Work on real-time AI projects that build practical, job-ready expertise.
Beginner to Advanced Curriculum – Start from the basics and progress to applied AI, machine learning, and deployment.
Expert-Led Training – Learn directly from seasoned AI professionals and industry practitioners.
Job-Oriented Approach – Resume preparation, mock interviews, and placement assistance to boost career opportunities.
Flexible & Accessible – Online sessions with recordings, so you can learn at your own pace.
Practical Assignments – Reinforce learning with exercises that simulate real-world business use cases.
Career Support – Access to a strong hiring network including Fortune 500 and MNC partners.
Globally Recognized Certification – Earn a credential that validates your AI skills and career readiness.

Course Syllabus

Module 1: Introduction to Artificial Intelligence

Overview of AI and its applications
AI vs. Machine Learning vs. Deep Learning
Real-world use cases of AI

Module 2: Python Programming for AI

Python basics and advanced concepts
Data structures and libraries (NumPy, Pandas, Matplotlib)
Writing and debugging real-time Python scripts

Module 3: Machine Learning Fundamentals

Supervised, Unsupervised, and Reinforcement Learning
Key algorithms: Regression, Classification, Clustering
Hands-on coding with Scikit-learn

Module 4: Deep Learning & Neural Networks

Introduction to Neural Networks
Building models with TensorFlow & Keras
Real-time code examples for image and text data

Module 5: Natural Language Processing (NLP)

Text preprocessing and sentiment analysis
Working with Hugging Face Transformers
Real-time chatbot project

Module 6: Computer Vision

Image classification & object detection
Convolutional Neural Networks (CNNs)
Hands-on project: Face recognition system

Module 7: AI on Cloud Platforms

Introduction to cloud platforms (AWS, Azure, GCP)
Deploying AI models on the cloud
Real-time project: AI web app deployment

Module 8: Capstone Projects

End-to-end AI project with real-world datasets
Deploying AI applications on GitHub and cloud
Building a professional portfolio

Module 9: Career Readiness Program

GitHub portfolio building with project showcase
LinkedIn profile optimization
Resume polishing tailored to AI job descriptions
Mock interviews & coding challenges
Quizzes & practice sessions

Module 10: Job Placement Assistance

Interview preparation & career guidance
Connecting with hiring partners
Placement support for AI roles

Module 11: Data Preprocessing & Feature Engineering

Handling missing data, outliers, and imbalanced datasets
Feature selection & dimensionality reduction (PCA, LDA)
Real-time example: Preprocessing datasets for ML pipelines

Module 12: Model Optimization & Hyperparameter Tuning

Grid Search & Random Search
Bayesian Optimization, HyperOpt, Optuna
Hands-on: Improving model accuracy with tuning techniques

Module 13: Time Series Analysis & Forecasting

Time series data processing
ARIMA, LSTM, Prophet models
Project: Stock price prediction system

Module 14: Generative AI (GenAI)

Introduction to Generative AI & LLMs
Text-to-text (ChatGPT), Text-to-image (Stable Diffusion)
Project: AI content generation assistant

Module 15: MLOps & Model Deployment

CI/CD pipelines for AI projects
Docker, Kubernetes for ML model deployment
Hands-on project: Deploying ML models with APIs

Module 16: Responsible AI & Ethics

AI bias & fairness in models
Ethical AI frameworks and compliance (GDPR, AI Act)
Case studies: Ethical dilemmas in AI deployment

Module 17: Big Data & AI Integration

AI with Hadoop, Spark MLlib
Distributed training with PySpark & TensorFlow
Project: Predictive analytics on large-scale datasets

Module 18: AI in Industry Applications

AI in healthcare (diagnosis, drug discovery)
AI in finance (fraud detection, credit scoring)
AI in retail (recommendation engines, customer insights)

Module 19: Real-Time AI Applications

Streaming data processing with Kafka
Real-time sentiment analysis & fraud detection
Project: Real-time social media monitoring dashboard

Module 20: Advanced Capstone & Career Accelerator

End-to-end enterprise-level AI project
Cloud deployment with monitoring & scaling
Final portfolio presentation on GitHub & LinkedIn
Personalized career roadmap & placement guidance

Frequently Asked Questions

Do I need a tech background to join?

Not at all. This course welcomes beginners and supports you along the AI learning curve.

How long does it take?

Designed for efficiency—complete it in approximately 45 hours to gain job-ready skills.

Will I become an AI Practitioner?

Yes! With certification, project experience, and placement support, you’ll be fully equipped to enter the field.

Who Should Enroll?

This course is ideal for:

Novices seeking a comprehensive path into AI
Professionals in business, IT, or management aiming to harness AI
Entrepreneurs wanting to embed AI into their ventures
Individuals eager to transition into AI-oriented roles
Those curious about building intelligent systems with real-world relevance

Why Choose AI Learning with Us?

Broaden Your Horizons
AI knowledge opens doors across sectors from product development to analytics and automation.
Flexible, Collaborative Role
You’ll work across departments strategizing and solving problems rather than sticking to rigid tasks.
Boosted Earning Potential
Skilled AI practitioners are high in demand, and your expertise can translate into tangible rewards.
Dynamic & Engaging Curriculum
Forget monotonous theory. Expect interactive modules, hands-on labs, and compelling applications.

This course includes:

Expecting High Pay? Need Experience?

Don’t worry, we have your back! At IIT WorkForce, we follow a 3-step journey. While our first-step focuses on extensive and rigorous training modules, our goal in the 2nd step is to build real-time project experience which can be furnished in your resume. However, the crucial last step is to have you placed in your ideal job!

Health Care Project

Banking Project

Telecom Project

CRM
Project

Supply Chain Project

Testimonial

What alumni say about us

“This AI training was a game-changer—the live projects and expert guidance turned abstract concepts into real skills.”

“As someone new to AI, I was nervous at first. But step-by-step instruction and real assignments helped me land an AI analyst role ASAP.”