Course Design By
Nasscom & Wipro
Home /Generative & Agentic AI/ Master in Generative AI Course in Canada
Master the Fundamental Concepts of Generative AI Course. Enroll today and become a skilled Generative AI Course expert.
In collaboration with
150 Hrs.
Duration
Online/Offline
Format
LMS
Life Time Access
we train you to get hired.
Learn AI Basics: Understand the core concepts of AI, machine learning, and deep learning, including how algorithms and neural networks work.
Master Generative AI: Dive into Generative AI, which focuses on creating new data from existing data, like generating realistic images or text.
Hands-on Practice: Work with powerful AI tools like TensorFlow, PyTorch, and Keras to create AI models and solve real-world problems.
Learn Natural Language Processing (NLP): Study how AI can understand and generate human language, which is used in chatbots, translation systems, and virtual assistants.
Understand AI Ethics: Discuss the ethical issues involved in using AI, such as privacy concerns and fairness.
Train and Optimize Models: Learn to train, test, and improve AI models to make them more efficient and accurate.
Starting Salary: Freshers can expect an annual salary between CAD 80,000 - CAD 110,000 (approximately 48,00,000 - 66,00,000).
Mid-Level Salary: With a few years of experience, salaries can rise to between CAD 120,000 - CAD 150,000(approximately 72,00,000 - 90,00,000).
Entry-Level: Start your career as an AI Engineer, Machine Learning Engineer, or Data Scientist.
Mid-Level: With a few years of experience, you could move into roles like Senior AI Developer or Lead Data Scientist.
Advanced Roles: With more experience, you can become an AI Researcher, AI Architect, or Chief AI Officer.
Leadership Roles: Experienced professionals can even transition into roles like AI Project Manager or Director of AI Strategy.
Booming AI Industry: AI is transforming industries such as healthcare, finance, and automotive, making professionals highly sought after.
Generative AI Growth: There is a high demand for Generative AI specialists who can create new data using AI systems.
High Earning Potential: AI professionals typically enjoy high salaries, which makes this career path very attractive.
Cutting-Edge Learning: Students get to learn about the latest advancements in AI, including deep learning, NLP, and neural networks.
Wide Application: AI has applications in almost every industry, from self-driving cars to entertainment and healthcare.
AI Engineer: Design and build AI models that solve real-world problems using large datasets.
Machine Learning Engineer: Develop and fine-tune machine learning algorithms to improve predictions and decision-making.
Data Scientist: Analyze large datasets and use AI models to generate actionable insights.
AI Researcher: Work on AI projects to explore new techniques, advance the technology, and improve AI models.
AI Product Manager: Oversee the development of AI products and work with teams to implement AI solutions in businesses.
Natural Language Processing (NLP) Engineer: Work with AI systems to understand and generate human language.
Technology: Companies like Google, Facebook, Microsoft, and IBM hire AI experts to develop cutting-edge technologies.
Healthcare: AI is used in drug discovery, medical imaging, and patient care.
Automotive: Self-driving car companies are looking for AI engineers to develop autonomous systems.
Finance: AI is used in risk management, fraud detection, and automated trading.
Entertainment: AI is being used in content creation, gaming, and personalizing recommendations on platforms like Netflix and YouTube.
CAD 2,000 - CAD 6,000 (approximately 1,20,000 - 3,60,000).
CAD 150 - CAD 400 (approximately 9,000 - 24,000).
Generative Image Creation: Use Generative Adversarial Networks (GANs) to create realistic images from scratch.
Text Generation: Build systems that use Natural Language Processing (NLP) to create human-like text for applications like chatbots.
AI Model Optimization: Learn how to train and improve AI models for better performance in real-world scenarios.
Predictive Analytics: Work on AI projects that use data to predict trends, outcomes, and future events.
Career Counseling: Our experts will guide you in choosing the right career path and industries to focus on based on your interests and skills.
Resume Building: We help you craft a strong, professional resume that highlights your expertise in Generative AIand other related skills.
Interview Preparation: You will have mock interviews and feedback sessions to improve your chances of success in real job interviews.
Job Referrals: We provide referrals to companies that are actively hiring AI professionals.
Job Search Support: Our placement team helps with job applications and interview scheduling to ensure you get the right opportunity.
we train you to get hired.
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Presenting and Managing Data in Excel
Manage Workbook Options and Settings
Apply Custom Data Formats and Layouts
Create Advanced Formulas
MIS Reporting and Dashboards (Any 03 Dashboards)
Macros and VBA
Incorporating AI Into Excel
Combining ChatGPT With Microsoft Excel
SQL Fundamental
Advance SQL
Introduction to Power BI
Power BI Desktop
Power BI Data Transformation
Modelling with Power BI
Data Analysis Expressions (DAX)
Power BI Desktop Visualisations
Introduction to Power BI Dashboard and Data Insights
Direct Connectivity
Publishing and Sharing
Refreshing Datasets
Introduction to Data Preparation using Tableau
Data Connection with Tableau Desktop
Basic Visual Analytics
Calculations in Tableau
Advanced Visual Analytics
Level of Detail (LOD) Expressions in Tableau
Geographic Visualizations in Tableau
Advanced charts in Tableau
Dashboards and Stories
Get Industry Ready
Exploring Tableau Online
Introduction To Python
Python Keyword and Identiers
Introduction To Variables
Python Data Type
Control Structure & Flow
List
Tuple
Dictionary
Sets
Strings
Python Function, Modules and Packages
Decorator, Generator and Iterator
Python Exception Handling
Python File Handling
Memory management using python
Python Database Interaction
Reading an excel
Complete Understanding of OS Module of Python
Introduction to Machine Learning
Supervised Learning
Regression Algorithm
Classification Algorithm
Optimization Algorithm
Dimensionality Reduction
Unsupervised Learning
Association Rules Mining and Recommendation Systems
Reinforcement Learning
Time Series Analysis
Model Selection and Boosting
Introduction to Text Mining and NLP
Extracting, Cleaning and Preprocessing Text
Analyzing Sentence Structure
Text Classification - I
Getting Started with TensorFlow 2.0
Introduction to Deep Learning
Neural Networks
Convolution Neural Network
Image Processing and Computer Vision
Regional CNN
Introduction to RNN and GRU
RNN, LSTM
Faster Object Detection Algorithm
BERT Algorithm
Introduction to Large Language Models
LLM Architectures
Prompting and Prompt Engineering
Issues with Prompting
Training
Decoding
Hallucination
LLM Applications
Multi-Modal
Language Agents
OCI Generative AI Introduction
Chat Models
Demo Chat Models
Demo OCI Generative AI Service Inference API
Demo Setting up OCI Config for Generative AI API
Embedding Models
Semantic Similarity
Sentence Embeddings
Embeddings use case
Embedding Models in Generative AI
Embedding Models in Generative AI
Demo Embedding Model
Customize LLMs with your data
Fine-tuning and Inference in OCI Generative AI
T-Few fine-tuning process
Reducing Inference costs
Inference serving with minimal overhead
Dedicated AI Clusters Sizing and Pricing
Demo Dedicated AI Clusters
Generative AI Fine-tuning Configuration
Demo Fine-tuning and Custom Models
Demo Inference using Endpoint
OCI Generative AI Security
Retrieval Augmented Generation
NNX compatible
Database-Native Vector Embedding Generation
Vector Index
Vector Index Syntax
Similarity Searches in Oracle 23i
Vector Search SQL
Vector Search
AI Vector Search powers Gen AI pipelines
Application Development
Chatbot Introduction
Chatbot Architecture & Basic Components
Models, Prompts and Chains
Setting Up a Development Environment
Demo Setup Development Environment
Demo Prompts, Chains, and LLMs
Extending Chatbot by Adding Memory
Extending Chatbot by Adding RAG
Extending Chatbot by Adding RAG + Memory
Deploy Chatbot to OCI Compute Instance
Deploy Chatbot to OCI Data Science
Prompt Engineering Fundamentals
Techniques of Prompting
Examples of Prompt Engineering for Everyday Success
Examples of Prompt Engineering for Software Developers
Getting Started with ChatGPT
Making Professional Cover Letters with ChatGPT
Building Professional Resumes with ChatGPT
Writing Professional Emails with ChatGPT
Optimize Your Linked In Profile with ChatGPT
Exploring Job Search Strategies with ChatGPT
Introduction to Cloud Computing
Amazon EC2 and Amazon EBS
Amazon Storage Services S3 (Simple Storage Services)
Cloud Watch & SNS
Scaling and Load Distribution in AWS
AWS VPC
Identity and Access Management Techniques (IAM)
Amazon Relational Database Service (RDS)
Multiple AWS Services and Managing the Resources' Lifecycle
AWS Architecture and Design
Migrating to Cloud & AWS
Router S3 DNS
Cloud Formation
Elastic Beanstalk
EFS / NFS (hands-on practice)
Hands-on practice on various Topics
Manage Azure identities and governance (15-20%)
Implement and Manage Storage (10-15%)
Deploy and Manage Azure Compute Resources (25-30%)
Configure and Manage Virtual Networking (30-35%)
Monitor and Back up Azure Resources (10-15%)
+ More Lessons
Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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04-Oct-2025*
06-Oct-2025*
01-Oct-2025*
04-Oct-2025*
06-Oct-2025*
01-Oct-2025*
You will get certificate after
completion of program
You will get certificate after
completion of program
You will get certificate after
completion of program
in Collaboration with
Empowering Learning Through Real Experiences and Innovation
we train you to get hired.
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Some basic knowledge of programming (especially in Python) is helpful, but the Master in Generative AI Training in Canada covers essential programming skills.
The course duration is typically 6 to 12 months, depending on whether you study full-time or part-time.
You can work as an AI Engineer, Data Scientist, Machine Learning Engineer, or AI Researcher.
You will work with popular AI tools like TensorFlow, PyTorch, Keras, and Scikit-learn.
AI professionals are in demand in various fields like technology, healthcare, finance, and automotive. You can work in roles such as AI Engineer or NLP Engineer.
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