AI Certification Program

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Latest Curriculum Vetted By Industry Experts

Explore a comprehensive offline and online AI certification syllabus, designed by corporate trainers and validated by leading industry experts and top recruiters

Leadership In Artificial Intelligence

Module
1
Introduction to Artificial Intelligence

Objectives: Understand what AI is, its scope, and where it’s used.
Topics Covered:

  • What is AI? History & Evolution
  • AI vs ML vs Deep Learning
  • Types of AI (Narrow, General, Super AI)
  • Use Cases (Healthcare, Finance, Retail, etc.)
  • Future Trends in AI
    Learning Method:Live + Video + Quiz

Objectives: Get hands-on with Python libraries required for AI.
Topics Covered:

  • Python Basics Refresher
  • Numpy & Pandas for Data Handling
  • Data Cleaning & Preprocessing
  • Visualization with Matplotlib & Seaborn
    Project Task:Data wrangling and visualization of a public dataset
    Learning Method: Hands-on Coding + Assignment

Objectives: Build strong ML foundation with practical examples.
Topics Covered:

  • Supervised vs Unsupervised Learning
  • Regression (Linear, Multiple)
  • Classification (Logistic, KNN, Decision Trees)
  • Clustering (K-means)
  • Model Evaluation: Accuracy, Precision, Recall, F1
    Project Task:House Price Prediction (Regression)
    Learning Method: Case Studies + Lab Work

Objectives: Understand and build neural networks using TensorFlow/Keras
Topics Covered:

  • What is Deep Learning?
  • Architecture of Neural Networks
  • Activation Functions
  • Forward and Backward Propagation
  • Building and training models with Keras
  • Overfitting and Regularization
    Project Task:Handwritten Digit Recognition using MNIST
    Learning Method: Hands-on + Mini Project

Objectives: Process and analyze text data using NLP techniques
Topics Covered:

  • Text Preprocessing (Tokenization, Lemmatization)
  • Word Embeddings (TF-IDF, Word2Vec)
  • Sentiment Analysis
  • Introduction to Transformers and BERT
    Project Task:Build a Sentiment Classifier for Twitter Data
    Learning Method: Labs + Real-world Dataset

Objectives: Learn image classification and object detection basics
Topics Covered:

  • Image Preprocessing
  • Convolutional Neural Networks (CNNs)
  • Object Detection Basics
  • Use Cases (Facial Recognition, OCR, etc.)
    Project Task:Build an Image Classifier for Animal Species
    Learning Method: Notebook + Assignment

Objectives: Understand how AI is transforming industries
Topics Covered:

  • AI in Healthcare, Finance, Retail, Pharma, etc.
  • Intelligent Automation
  • AI in Drug Discovery & Clinical Trials (if Pharma-relevant)
  • Guest Talk / Industry Panel
    Learning Method:Use Case Videos + Expert Talk

Objectives: Address responsible AI, ethical implications
Topics Covered:

  • AI Bias & Fairness
  • Privacy, Transparency, and Explainability
  • Responsible AI Principles
  • Regulatory Frameworks (like GDPR)
    Learning Method:Discussion + Case Studies

Objectives: Apply everything learned to a real-world problem
Deliverables:

  • Choose a domain-specific AI use case
  • Build end-to-end model (Data → Model → Deployment Mock)
  • Prepare a presentation + code walkthrough
    Example Topics:
  • Customer Churn Prediction
  • Fake News Detection
  • Disease Diagnosis from Symptoms
    Learning Method:Mentoring + Peer Review + Submission
3
Months
50 Hrs-
Learning
1+
Certifications
2
Projects
80+
Tools
1+
Assessments
50+
Case Studies
15+
Templates and Blueprints
Learning Modes:

Online / Offline


Batch Timings

10:00AM – 01:00PM (Weekdays Classes)
02:00PM – 05:00PM (Weekdays Projects)
10:00AM – 05:00PM (Weekend)

Hundreds of Careers Transformed into AI Engineer

How the Artificial Intelligence Program Works

The one-stop learning platform for your career

Enrollment & Onboarding

Register online or through the training partner to receive a welcome kit with resources and gain access to the learning portal with recorded sessions, study material, and assignments.

Learning Approach

Choose between live instructor-led sessions or self-paced modules, with theory plus practical coding exercises and hands-on projects on real datasets.

Program Structure

The program is divided into weekly modules (AI basics → ML → Deep Learning → NLP → Deployment), each including lectures, reading material, and lab exercises with coding practice.

Mentoring & Support

Live doubt-solving through Q&A and discussion forums, guided mentorship for projects, and collaborative community learning with peers through team projects and networking.

Projects & Capstone

Each module includes small projects (e.g., sales prediction, image recognition, chatbot), and the program concludes with a capstone project that solves a real-world problem using an end-to-end ML pipeline.

Assessments

Weekly quizzes to assess understanding, assignments with practical coding tasks, and a final evaluation through project presentation and an online test.

Certification

Receive a Certificate of Completion after finishing assignments and projects, a Certificate of Excellence for top performers, and share your achievements on LinkedIn, CV, and professional profiles.

Post-Training Benefits

Get lifetime access to course recordings and materials, career guidance including resume building, interview prep, and job referrals (if offered), along with an alumni network for collaboration and continuous learning.

Upskill. Implement. Get A Job.

Build your career as AI Engineer

Detailed & Advanced Curriculum

Learn fundamentals to advanced concepts of Artificial Intelligence & Machine Learning. The curriculum is designed as per industry standards to help you gain strong theoretical and practical knowledge.

Learn 20+ Tools in 1 Program

Master Machine Learning, Deep Learning, Neural Networks, NLP, Computer Vision, Data Analytics, and more. Become an AI & ML specialist with a structured program.

15+ Real-World Projects

Work on industry-based projects across healthcare, finance, e-commerce, and more. Apply AI & ML to solve practical problems and gain corporate exposure.

Hands-On Model Training

Run paid campaigns in Facebook, Instagram, LinkedIn, Google Ads Search, Google Ads Display and Quora. Trainers will deposit money into your campaigns account and learners can run ads and gain real time experience.

Domain Expert Trainers

Learn directly from AI & ML practitioners and researchers. Get mentorship, coding guidance, and insights from multiple domain experts with practical experience.

Industry Internship

Gain hands-on internship experience while learning. Work on live projects with AI & ML teams and get exposure to real-world applications of Artificial Intelligence.

AI Certification Program Completion Certificate

Be Industry Ready With Dedicated Career Support

Soft Skill

Learn the right body language, soft skills, & presentation techniques needed to become a professional.

Mock Interviews

To get ready for all interview rounds and questions, practice with multiple levels of mock interviews.

Portfolio Building

Make a standout marketing portfolio for demonstrating to your prospective employers and clients.

Resume Building

Create a powerful digital marketing CV highlighting your credentials, experiences, & skills to land a job.

Interview

Our recruitments specialists help you optimize your job profile to get maximum number of interviews

Gen AI Foundation Certificate Program – FAQs

The Generative AI Foundations Certificate Program is open to everyone—students, freshers, and working professionals alike—anyone eager to learn about generative AI. New learners can start with the Generative AI Foundations course, while those seeking more in-depth knowledge can choose from our advanced specialization tracks, such as the Gen AI Mastery Certificate for Software Development, Data Analysis, Managerial Excellence, and Content Creation.
There are no strict prerequisites for enrolling in the online Gen AI course. However, for specialized tracks, having a background related to the subject area is recommended.
The Gen AI certification is offered fully online via QUESPRO platform, allowing learners to access the course material from anywhere at their convenience.
The Generative AI training program is recommended to be completed in 6 hours, but learners have up to 2 months to finish the course and become eligible for the certificate.
Absolutely! This Generative AI for Beginners course covers essential concepts of generative AI, including its applications, tools, and practical use cases in the real world.
You’ll get practical experience using tools like ChatGPT, Midjourney, Stable Diffusion, Runway, Microsoft Fabric, Azure, Jasper, Copilot, and several others.
Yes! Upon successfully completing the course, you’ll be awarded a joint certificate of completion from QUESPRO and Microsoft.

Digital Marketing Strategy Execution and Management This module focuses on skills and strategies you can use to move from a management to a leadership
role, how you can build and train a team, and finally, communicate and execute a digital strategy. This course is one of the top courses in digital marketing. It
Includes training that prepares you to handle a team of digital marketers, leadership qualities, and managing skills.

Digital Marketing Strategy Execution and Management This module focuses on skills and strategies you can use to move from a management to a leadership
role, how you can build and train a team, and finally, communicate and execute a digital strategy. This course is one of the top courses in digital marketing. It
Includes training that prepares you to handle a team of digital marketers, leadership qualities, and managing skills.

Digital Marketing Strategy Execution and Management This module focuses on skills and strategies you can use to move from a management to a leadership
role, how you can build and train a team, and finally, communicate and execute a digital strategy. This course is one of the top courses in digital marketing. It
Includes training that prepares you to handle a team of digital marketers, leadership qualities, and managing skills.

Admission Enquiry