Course Design By
Nasscom & Wipro
Home /Generative & Agentic AI/ Generative AI Course in Canada
Join the Generative AI Course in Canada and learn from experts to become a skilled IT professional recognized worldwide.
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50 Hrs.
Duration
Online/Offline
Format
LMS
Life Time Access
we train you to get hired.
Basics of AI: Understand what AI is and how machine learning models work, especially the ones used for generating content.
Generative Models: Learn about the advanced AI techniques like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) used to create new content.
Deep Learning: Get a hands-on understanding of deep learning and how its used in generative AI models.
Text Generation with GPT: Learn how AI systems like GPT (Generative Pre-trained Transformers) can create human-like text and understand language.
Image Creation with GANs: Discover how GANs can generate images that look incredibly realistic, and learn how to train these models.
AI Ethics: Understand how to avoid biases and ensure that AI is being used ethically in your projects.
AI Tools: Learn to work with tools like TensorFlow, PyTorch, and Hugging Face to build your own AI systems.
Entry-Level Jobs: Start as an AI Developer or Machine Learning Engineer, where you will help build and train AI models for text, images, or other creative tasks.
Mid-Level Roles: With some experience, you can become an AI Researcher, Generative AI Specialist, or AI Solutions Architect, where you will work on more complex AI systems.
Leadership Roles: After gaining experience, you could move into leadership roles like AI Product Manager or Director of AI Development, overseeing teams and projects.
AI Is the Future: AI is everywhere, from tech to healthcare. This course prepares you to work in one of the fastest-growing fields.
High Earning Potential: AI experts are in high demand and the salary potential is excellent.
International Recognition: A certification from Canada is recognized globally, giving you opportunities in Canada and beyond.
Versatility Across Industries: AI is used in many sectors like healthcare, entertainment, and e-commerce, so you will have a wide range of job opportunities.
AI Engineer: Work on developing and implementing AI models that generate creative content like images and text.
Machine Learning Engineer: Focus on creating algorithms that allow machines to learn from data and generate content.
Data Scientist: Use data to train AI models and help businesses make informed decisions.
Generative AI Researcher: Conduct research to improve existing AI models and explore new ways to use generative AI.
AI Product Manager: Oversee AI projects and help guide teams to create AI products that meet business needs.
Tech & IT Companies: Tech firms need AI experts to improve their software, apps, and other products.
Healthcare: AI is used to develop personalized treatment plans and improve patient care.
Entertainment & Media: AI can help generate content like music, videos, and virtual reality experiences.
Finance & Banking: AI models are used to predict market trends, assess risks, and help with financial decision-making.
E-Commerce: AI is used for personalized recommendations, customer insights, and optimizing inventory.
TensorFlow: A popular tool for building and training machine learning models.
PyTorch: A framework used for creating deep learning models.
Hugging Face: A platform for using pre-trained models for text generation and NLP tasks.
Keras: A simple and fast deep learning framework built on top of TensorFlow.
OpenAI GPT: Learn how to use GPT models for generating text and understanding language.
GANs: Understand how Generative Adversarial Networks are used to create realistic images and content.
Text Generation Project: Train AI models to generate text that sounds like a human wrote it, such as for chatbots or automated content.
Image Generation Project: Work with GANs to create images, such as artwork or realistic photos.
Creative AI Project: Build an AI system that generates creative content like music, stories, or poems.
AI Chatbot Project: Develop a chatbot powered by AI that can answer questions and interact with users.
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What is a Large Language Model
Encoders and Decoders
Model Ontology
Encoders
Decoders
Encoders-Decoders
Architectures at a glance
Affecting the distribution over Vocabulary
Affecting the distribution over Vocabulary
Prompting
Prompt Engineering
In-context Learning and Few-shot Prompting
Example Prompts
Advanced Prompting Strategies
Prompt Injection
Memorization
Training
Hardware Costs
Decoding
Greedy Decoding
Non-Deterministic Decoding
Temperature
Hallucination
Groundedness and Attributability
Retrieval Augmented Generation
Code Models
OCI Generative AI Service
How does OCI Generative AI service work
Pretrained Foundational Models
Fine-tuning
Dedicated AI Clusters
Tokens
Pretrained Chat Models
Chat Model Parameters
Preamble Override
Temperature
Chat Model Parameters
Top k
Top p
Frequency and Presence Penalties
Embeddings
Word Embeddings
Prompt & Prompt Engineering
LLMs as next word predictors
Aligning LLMs to follow instructions
In-context Learning and Few-shot Prompting
Prompt Formats
Advanced Prompting Strategies
Training LLMs from scratch with my data
In-context Learning / Few-shot Prompting
Fine-tuning a pretrained model
Fine-tuning Benefits
Retrieval Augmented Generation (RAG)
Customize LLMs with your data
Fine-tuning and Inference
Fine-tuning workflow in OCI Generative AI
Inference workflow in OCI Generative AI
Dedicated AI Clusters
T-Few Fine-tuning
Dedicated AI Cluster Units
Dedicated AI Cluster Units Sizing
Dedicated AI Clusters Sizing
Example Pricing
Fine-tuning Configuration
Fine-tuning Parameters (T-Few)
Understanding Fine-tuning Results
Dedicated GPU and RDMA Network
Model Endpoints
Customer Data and Model Isolation
Generative AI leverages OCI Security Services
Retrieval Augmented Generation
RAG Framework
RAG Techniques
RAG Pipeline
Chatbot Introduction
Demo Chatbot
Chatbot Architecture
OCI Generative AI and LangChain Integration
LangChain Components
LangChain Prompt, Model and Chain Interaction
LangChain Prompt Templates
String Prompt Template and PromptValue
Chat Prompt Template and PromptValue
LangChain Models
LangChain Models OCI Chat Models
LangChain Models OCI Embedding Models
LangChain Chains
LangChain Chains
LangChain Memory
Memory
Memory Chat Messages
LangChain Memory Per User
Demo Memory
Demo Streamlitand Memory
RAG with LangChain
Retrieval Augmented Generation (RAG) with LangChain
Read and Split Documents
Embed documents and store in the vector database
Retrieve documents and send as a context to the LLM
Demo RAG - Indexing
Demo RAG - Retrieval and Generation
RAG Plus Memory
Adding chat history as context
Print of Response
Demo RAG Plus Memory and Tracing with LangSmith
Demo Evaluate Model using LangSmith
Chatbot Technical Architecture
Deploy Chatbot to OCI Compute Instance (Virtual Machine)
Demo Deploy Chatbot to VM
Deploy LangChain Application to Data Science as Model
+ More Lessons
Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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04-Oct-2025*
06-Oct-2025*
08-Oct-2025*
04-Oct-2025*
06-Oct-2025*
08-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
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we train you to get hired.
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This course specifically focuses on Generative AI, where you will learn to create content such as text, images, and music using AI models. Unlike broader AI courses, this one dive deep into techniques like GANs and GPT, which are at the cutting edge of AI creativity.
Yes! The course is designed to take you from the basics of AI to advanced generative models. You don’t need any prior experience in AI or coding, as we guide you step-by-step through the learning process.
Absolutely! you will work on several real-world projects like AI-generated images, text generation, and even AI-powered chatbots. These projects are great for building a portfolio that will impress potential employers and show your hands-on skills.
Generative AI is revolutionizing industries! In entertainment, it’s used to create realistic visual effects, music, and virtual characters. In healthcare, it’s helping with personalized treatments, generating synthetic medical data, and even automating medical imaging tasks. This course helps you understand and create these applications.
This course equips you with specialized knowledge in Generative AI, a niche but growing field. Many companies are actively seeking professionals with expertise in creating AI-driven content, and with the skills learned here, you will be able to create highly innovative solutions and stand out in the job market.
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