Snowflake Cortex AI Certification Training in Gurgaon
- Get mastery in building Agentic AI workflows for intelligent automation & to drive key businesses powered using Snowflake Cortex AI platform.
- Experience blended learning through interactive offline and online sessions.
- Job Oriented Training Course
- Course Duration - 3 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Trained through leading industry professionals to get realtime project exposure
Gain professionals insights through leading industry experts across domains
24/7 Q&A support designed to address training needs
Snowflake Cortex AI Course
Kickstart your carrer in AI with certification in Generative AI with Snowflake Cortex AI course, that will help in shaping the carrer to the current industry needs that need automation using intelligent workflows like Snowflake Cortex AI in every domain & sphere of the industry that will allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
- Self-paced videos & training materials with archived session recordings
- Success Aimers targets industry employers to gain visibility
- Industry-paced training with realtime scenarios using Snowflake Cortex AI for intelligent automation.
- Real-World industry scenarios with projects implementation support
- Live Virtual classes heading by top industry experts alogn with project implementation
- Q&A support sessions
- Job Interview preparation & use cases
Explain Snowflake Cortex AI Engineer?
AI Engineers automate business processes via Snowflake Cortex AI platform for intelligent automation that will allow organizations to boost decsion making & also thrive business growth with improved customer satisfaction. AI engineers build optimized workflows, deployment & maintain the AI development lifecycle to deliver high-précised solutions to the clients using Agentic AI frameworks/workflow builders.
Role of Snowflake Cortex AI Engineer?
Snowflake Cortex AI Engineers manages the end-to-end AI development lifecycle using Snowflake Cortex AI platform and intelligent workflow strategies.
Responsibilities include:
- Agentic AI Tools Adoption & automation using patterns like RAG ,Tools ,Reflection & others
- Continuously exploring new AI based frameworks/tools to build optimized workflows
- Deploying AI model within cloud infrastructure securely & seamlessly.
- Develop & Design AI workflows that meets business needs with automation scripts
- Success Aimers helps aspiring AI professionals to build, deploy, manage these Agents effectively seamlessly & to scale as per business needs.
Who should opt for Snowflake Cortex AI Engineer course?
Snowflake Cortex AI course accelerates/boost carrier in AI & technology-driven organizations
- AI & Application Engineers – Develop Agentic AI workflows to automate business processes.
- Data Engineers – Implementing Data Pipelines using AI
- AI Developers – Automated workflows using Snowflake Cortex AI frameworks/tools
- AI Leaders – Leading AI Governance & initiative within enterprise.
- Cloud & Infrastructure Engineers – Deploying AI developed applications seamlessly & effectively.
Prerequisites of Snowflake Cortex AI Engineer Course?
Prerequisites required for the Snowflake Cortex AI Engineer Certification Course
- Below is the prerequisite to become a successful Snowflake Cortex AI Professional:
- High School Diploma or a undergraduate degree
- Python Programming language
- IT Foundational Knowledge along wit Data Science & Software Development skills
- Knowledge of Cloud Computing Platforms like AWS, AZURE & GCP will be an added advantage.
Kind of Job Placement/Offers after Snowflake Cortex AI Engineer Certification Course?
- Job Carrer Path in Azure Open AI & Snowflake Cortex AI Automation
- Snowflake Cortex AIÂ Engineer – Develop & Deploy AI developed solutions/applications using agentic frameworks/tools
- Snowflake Cortex AI Engineer – Build context-aware, Enterprise ready AI systems.
- Snowflake Cortex AI Automation Engineer – Design, Developed & build automated workflows to drive key business processes/decisions
- Cloud AI Engineer / AI Cloud Architect – Deploy AI Solutions seamlessly & effectively across enterprises with AI Governance strategy
- Snowflake Cortex AI Model Deployment Engineer – Automate Model Deployment & AI Lifecycle management via MLOps pipeline & Agentic AI Frameworks
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Snowflake Cortex AI Engineer Certification Course Curriculum
Start your carrer in AI with certification in Snowflake Cortex AI Engineer course, that will help in shaping the carrer to the current industry needs that need automation using intelligent workflows like Snowflake Cortex AI in every domain & sphere of the industry that will allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
Snowflake Cortex AI
Course Details - Snowflake Cortex AI
Introduction to Snowflake Cortex
- Overview of Snowflake Cortex
Snowflake Create Agent using Cortex Search & Analyst
- Agent Creation via Cortex Analyst (Structured Sources)
- Agent Creation via Cortex Analyst (Unstructured Sources)
- Agent to run a SQL query against the table using Cortex Analyst
- Snowflake REST API’s
- Snowflake Intelligence: Integrate the agent with Snowflake Intelligence and have the orchestration and UI built by Snowflake for you
- Cortex Search: How to leverage hybrid search combining semantic and keyword approaches for more accurate results
- Cortex Agents: How to integrate and use the stateless REST API for combining search and analysis capabilities
- Cortex Analyst: How to convert natural language to SQL using semantic models for high-accuracy analytics
- Integration: How to combine these capabilities into a cohesive application using Streamlit
Automating Document Processing Workflows Document AI
- What is Document AI
- Upload Documents
- Setup Snowflake Cortex Search
- Create a Document AI model to extract values from documents
- Create a document extraction pipeline
- Create a Streamlit application in Snowflake to verify extracted values
Best Practices for Creating Semantic Views for Cortex Analyst
- Core semantic view design principles
- How to scope, organize, and route semantic views by business domain
- How to improve accuracy with descriptions, metrics, filters, verified queries, and custom instructions
- How to test and iterate using evaluation sets and feedback loops
- Common pitfalls and how to avoid them
Build an Image Analysis App with Streamlit and Snowflake Cortex
- Snowflake Cortex with vision-capable models
- Create stages with proper encryption for image analysis
- Upload images and analyze them with AI_COMPLETE
- Build different analysis modes (OCR, object detection, etc.)
Build an AI Assistant for Telco using AI SQL and Snowflake Intelligence
- Extract structured data from unstructured documents
- Build and configure Cortex Search Services for RAG applications
- Create Cortex Analyst semantic models for business intelligence
- Use Snowflake Intelligence agents with multiple tools
- Deploy production-ready Streamlit applications in Snowflake
Build and Evaluate Multi-Agent Systems with Snowflake and LangGraph
- Set up Snowflake Cortex Agents with specialized tools
- Create Cortex Search services for semantic search
- Build Semantic Views for Cortex Analyst text-to-SQL
- Build a multi-agent supervisor workflow using LangGraph
- Run and debug your workflow with LangGraph Studio
- Evaluate agent performance using TruLens with Snowflake
Build a Chatbot App with Streamlit and Snowflake Cortex
- Build a production-ready chatbot using Streamlit's chat components and Snowflake Cortex LLM functions
- Use Streamlit's chat UI elements (st.chat_message, st.chat_input)
- Implement session state for conversation memory
- Build a chatbot with conversation history context
- Implement customizable system prompts for Bot personalities
- Title - Open API 3.0
- What is Open API 3.0 ?
- Understanding the Workflow for Yahoo Finance
- Demo: Create Rapid API Key
- Demo: Create a Connection to Rapid API in Azure
- Demo: Create a Stocks Agent and Attach Open API 3.0
- Demo: Test the Stocks Agent in Playground
- Demo: Install the Libraries and Setup Environment
- Authenticate/Initialize/ Load Open API Spec
- Get Connection / Create Auth Object / Create Open API Tool
- Create Agent / Thread / Conversation Loop
- Execute the Program and run Queries
Build Customer Facing Applications Using Sigma and Snowflake
- Ingest data into Snowflake & connect to Sigma
- Leverage Sigma functions for data prep
- Build a workbook and visualizations
- Embed a workbook into your application
- End users of the application can explore data and generate new insights in a self-serve fashion with Sigma
Build and Evaluate RAG with LangChain and Snowflake
- Set up a Snowflake environment for RAG applications
- Create a retriever using Snowflake Cortex Search
- Build a complete RAG chain with LangChain and Snowflake
- Embed a workbook into your application
- Evaluate RAG performance using TruLens
- Analyze evaluation results in Snowflake
Call Centre Analytics with Snowflake Cortex LLM and Snowpark Container Services
- Audio-to-Text Conversion: Utilizes open AI Whisper running in Snowpark Containers to transcribe insurance call center audio files into text, extract call duration facilitating for efficient analysis
- Insight Capture: Extracts and compiles information such as Customer details, Agent interactions, Sentiment analysis, Summary, Resolution, and Next Steps, Duration, Intent for every call using Cortex LLM functions
- Supervisor Dashboard: Builds dashboards in Streamlit that showcase diverse metrics, enabling users to gain a holistic view of various metrics and user experiences
- RAG-Based Chatbot: Integrates an innovative chatbot using RAG approach, ensuring contextual responses for enhanced user engagement
- Text2SQL Functionality: Empowers users with a personalized co-pilot like feature, allowing for natural language queries and receiving output tailored to tables in context, enhancing user experience and analytical capabilities
LLM Functions and Extensions in Cortex
- SENTIMENT LLM Function
- Introduction to LLM Functions: Overview
- Introduction to LLM Functions: Quick Demo
- Introduction to Data Science: Important Milestones
- Introduction to Data Science: Deep Learning Review
- Introduction to Data Science: Generative AI Review
- ChatGPT Integrations: Local Applications
- ChatGPT Integrations: Snowflake Applications
- ChatGPT Integrations: Overview
- COMPLETE LLM Functions
- EXTRACT_ANSWER LLM Function
- SENTIMENT LLM Function
- SUMMARIZE LLM Functions
- TRANSLATE LLM Function
- Applications with Cortex LLM Functions
- Access Rights to LLM Functions
- Cost of LLM Functions
- Quick Tips: Mistral-Large Cost
- Quick Checkpoint: About Mistral Large
- LLM Extensions in Snowsight
- Universal Search: Overview
- Snowflake Copilot: Quick Demo
- Snowflake Copilot: Overview
- Snowflake Copilot: SQL Query Generation with LangChain and ChatGPT
- Quick Checkpoint: Is Snowflake Copilot Reliable Enough?
- Document AI: Overview
- Document AI: Private Data Access with LlamaIndex and ChatGPT
ML Pipelines with Snowpark ML (in Cortex)
- Introduction: Snowpark ML APIs
- Data Collection: FileSystem
- Data Collection: FileSet and Framework Connectors
- Data Collection: SnowflakeFile
- Distributed Preprocessing: Sklearn vs Snowpark ML
- Distributed Preprocessing: Snowpark vs Snowpark ML
- Distributed Preprocessing: Notebook Experiments
- Model Training: Sklearn vs Snowpark ML
- Model Training: Snowpark vs Snowpark ML
- Model Training: Overview
- Distributed HPO: Sklearn vs Snowpark ML
- Distributed HPO: Snowpark vs Snowpark ML
- Distributed HPO: Overview
- Distributed Metrics: Sklearn vs Snowpark ML
- Distributed Metrics: Snowpark vs Snowpark ML
- Distributed Metrics: Overview
- Snowflake MLOps: Overview
- Snowflake MLOps: Logging a Model
- Snowflake MLOps: The Model Registry
- Snowflake MLOps: Model Predictions from Registered Models
- Snowflake MLOps: Model Types and Providers
- Cost of Snowpark ML
ML Functions (in Cortex)
- Introduction: ML Classes
- Introduction: ML Class Methods
- Introduction: Snowflake SQL Classes
- Introduction: Snowflake SQL Class Instances
- Quick Checkpoint: About the ML-Powered Functions
- Classification: Binary Classifier
- Classification: Multiclass Classifier
- Classification: Bank Classifier
- Classification: Overview
- Quick Tips: Confusion Heatmap for Classification ML Class
- Forecasting: Time Series Data
- Forecasting: Prepare Sales Data
- Forecasting: Train Model and Predict Sales
- Forecasting: Train Model and Predict Temperatures
- Forecasting: Overview
- Anomaly Detection: Overview
- Anomaly Detection: Detect Outliers in Sales
- Anomaly Detection: Automation with Tasks and Alerts
- Anomaly Detection: Detect Outliers in Temperatures
- Gradient Boosting: Algorithm
- Gradient Boosting: Classifier & Regressor
- Contribution Explorer: Overview
- Contribution Explorer: What Led to a Change in Sales
- Contribution Explorer: What Makes a Customer Take to a Loan
- Contribution Explorer: How to Survive on Titanic
- Access Rights: Introduction to Roles
- Access Rights: Classification
- Access Rights: Forecasting and Anomaly Detection
- Cost of ML Functions
Build , Deploy and Monitor Multi-Agents Applications using Snowflake Cortex AI platform . These tools helps to build a multi-agentic using Snowflake hosted AI Models, Agent Service, Observability & others then visualize them on customized dashboards in form of graphs & bar charts. We can also bring automation using these Snowflake Cortex AI platform that will help to automate business processes autonomous AI Agents .Â
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Snowflake Cortex AI Certified Professional.
With the AI Certification in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Gen AI
- Vector DB
- Agentic AI
- Lang Chain
- Lang Graph
- Snowflake Cortex AI
- Snowflake ML
- Model Context Protocol (MCP)
- AI Governance
- Autonomous Agents
- Snowflake Cortex Search
- Multimodal RAG's
- Snowflake Cortex Analyst
45% - 100%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Snowflake Cortex AI course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of AI & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Snowflake Cortex AI Engineer?
To become a successful Snowflake Cortex AI Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Snowflake Cortex AI implementation?
- Manufacturing
- Financial Services
- Healthcare
- E-commerce
- Telecommunications
- BFSI (Banking, Finance & Insurance)
- Travel Industry
- Â
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Snowflake Cortex AI Certification Course reviewed by learners?
Our Snowflake Cortex AI Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to AI.
Also our training curriculum has been reviewed by alumni & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group.
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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