Artificial Intelligence Course in Noida

Enroll in the Artificial Intelligence Course in Noida at Gyansetu and learn the machine learning, neural networks, and Python programming master key to Generative AI, guaranteed placements in the leading tech companies in Noida!

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Job Assured Program 100% Assistance Till You Get Job

Course Duration 6 Months + Life Time Access

Industry Experienced Trainer Get Trained from Experts

Training Format Classroom/Live Online

Next Batch: 21 Mar, 2026

Next Batch: 21 Mar, 2026

Overview
Features
Placements
Certification
Curriculum
Projects
Reviews
FAQs

Artificial Intelligence Course in Noida Overview

Dive into the Artificial Intelligence Course in Noida by Gyansetu, curated to train future tech professionals to be the rulers of the Artificial Intelligence revolution in India. This practical course provides you with fundamental Generative AI knowledge, including Python for data manipulation, machine learning algorithms for predictive modeling, convolutional neural networks for deep learning, and natural language processing for real-world applications such as chatbots and sentiment analysis.

You will have a good grasp of the basics of supervised and unsupervised learning and will go on to develop the latest technologies such as TensorFlow, Keras, and PyTorch. You are expecting live projects that simulate industry challenges, from image recognition to recommendation systems, to build a portfolio that will be memorable to recruiters.

This course connects the classroom education to a high-paying career in the Noida tech ecosystem, which hosts tech giants such as HCL and TCS. Use case studies on fraud detection and customer insights to gain business analytics training, all under personalized mentorship with AI experts with 10+ years of experience in the field.

Why Choose Gyansetu’s AI Course in Noida?

AI is trending worldwide and in high demand. Here are the key concepts of the AI course:

Live Projects: Engage in real-world projects such as AI chatbots and recommendation engines as soon as they are created.
In-Demand Tools: Experiments with TensorFlow, PyTorch, Hugging Face – more than simple libraries.
One-on-One Mentorship: AI specialists work with your projects to execute flawlessly.
Capstone Portfolio: AI end-of-chain projects to impress your potential employers.
Flexible Weekend Batches: Ideal for the busy Noida tech industry of working professionals.
Lifetime Course Access: Curriculum advances keep you ahead in AI systems innovation.

artificial-intelligence-course-in-noida

Key Highlights of Artificial Intelligence Course

100% Placement Support

Free Course Repeat Till You Get Job

Mock Interview Sessions

1:1 Doubt Clearing Sessions

Flexible Schedules

Real-time Industry Projects

Placement Stats

Maximum salary hike

170%

Average salary hike

90%

Our Alumni in Top Companies

Artificial Intelligence Course Placement Highlights

Avinash

74 % Hike

Data Analyst

NTK

Data Analyst

Google

Priya Paswan

57 % Hike

Sales Consultant

Hear.com

Senior Data Analyst

Vistara

Batches Timing for Artificial Intelligence Course

Track	Weekdays (Tue-Fri)	Weekends (Sat-Sun)	Fast Track
Course Duration	4 Months	6 Months	30 Days
Hours Per Day	2-3 Hours	3-4 Hours	6 Hours
Training Mode	Classroom/Online	Classroom/Online	Classroom/Online

Artificial Intelligence Professional Certification Course in Noida

Gain the prestigious certification of the Artificial Intelligence Course in Noida of Gyansetu on completion of the course. This certificate is your key to the certified AI applications knowledge sought after by leading technology companies. This profession-specific degree demonstrates practical skills and expertise on the latest tools and projects, and it enhances your resume to get a high-demand job.

Key Highlights:

Portfolio: LinkedIn/GitHub badge capstone project.
Lifetime right: Digital certificate with QR authentication.
Career Boost: 85% of certified graduates state accelerated interviewing tests, perfect for Noida IT centers such as HCL and TCS.

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AI Course Curriculum

The Artificial Intelligence Course at Noida by Gyansetu has a carefully crafted syllabus that covers Python foundations, machine learning algorithms, deep learning with neural networks, NLP with transformers, computer vision projects, and Generative AI deployment. In 6 months, it develops job-ready skills in 10+ live courses.

Generative AI

The Generative AI Course will teach you the most in-demand AI skills, like LLMs (Large Language Models), Prompt Engineering, Midjourney, DALL-E, and how to use Power BI with AI. You will also learn how to use AI with Outlook, Word, Excel, PowerPoint, SQL, Python, and Teams. This will give you everything you need to do things in the real world that use AI-powered analytics and automation.

12 Modules

Generative AI

Module 1: Introduction to Generative AI

1.1. Introduction to AI

What is Artificial Intelligence?
AI vs. Automation vs. Analytics: Understanding the distinctions
Types of AI: Narrow AI, General AI, and Super AI
Real-world examples of AI in action

1.2. AI Family Tree

AI, Machine Learning (ML), and Deep Learning (DL): Relationships and differences
Supervised vs. Unsupervised vs. Reinforcement Learning (brief overview)
Neural Networks: The building blocks

1.3. History & Evolution of AI

Key milestones: From Turing Test to AlphaGo to ChatGPT
AI winters and breakthroughs
Current state of AI (2024-2025)

1.4. Core AI Applications

Natural Language Processing (NLP): chatbots, translation, sentiment analysis
Computer Vision (CV): facial recognition, object detection, medical imaging
Robotics & Autonomous Systems
Predictive Analytics: forecasting, recommendation systems

1.5. AI Across Industries

HR: Recruitment screening, employee engagement analysis
Operations: Supply chain optimization, predictive maintenance
Healthcare: Diagnosis assistance, drug discovery
Retail: Personalization, inventory management
Education: Adaptive learning, automated grading
Finance: Fraud detection, algorithmic trading
Manufacturing: Quality control, process automation

1.6. Future of AI

Emerging trends: Multimodal AI, Edge AI, Quantum ML
Opportunities: Productivity gains, innovation acceleration
Risks: Job displacement, privacy concerns, weaponization

Module 2: Generative AI Foundations 5 Topics

2.1 Introduction to Generative AI

What is Generative AI? Definition and characteristics
Traditional AI (predictive) vs. Generative AI (creative)
Everyday GenAI applications: Writing assistants, image generators, code completion
Popular GenAI tools: ChatGPT, Claude, Gemini, DALL-E, Midjourney

2.2 How GenAI Works

Large Language Models (LLMs) explained simply
Introduction to Transformers: Attention mechanism in plain language
Tokens and tokenization
Training vs. Fine-tuning vs. Inference
Parameters and model size (7B, 70B, 405B – what do they mean?)

2.3 Key GenAI Models Overview

OpenAI GPT family (GPT-4, GPT-4o, o1)
Anthropic Claude (Sonnet, Opus, Haiku)
Google Gemini
Meta LLaMA
Open-source vs. Closed-source models
Strengths and limitations of each

2.4 Recent Trends & Important Concepts

Multimodal AI (text + image + audio + video)
Context windows and long-form understanding
Retrieval-Augmented Generation (RAG)
AI reasoning models (o1, o3)
Real-time AI and streaming responses

2.5 Prompt Engineering Fundamentals

What is a prompt?
Anatomy of a good prompt: Role, Task, Context, Format, Constraints
Text generation and completion
Summarization: Short vs. detailed summaries
Rewriting: Tone adjustment (formal, casual, persuasive, empathetic)
Translation and localization

2.6 Prompt Structures

Instructional prompts
Role-based prompts (“Act as a…”)
Template-based prompts
Structured output requests (JSON, tables, lists)

2.7 Core Prompting Techniques

Zero-shot prompting: Direct instructions
Few-shot prompting: Learning from examples
Chain of Thought (CoT): Step-by-step reasoning
Tree of Thoughts (ToT): Exploring multiple reasoning paths
Self-consistency: Multiple attempts for better answers

2.8 Multi-turn Interactions

Context retention and conversation memory
Building on previous responses
Clarification and refinement loops

2.9 Limitations & Quality Evaluation

Hallucinations: What they are and how to spot them
Bias in AI outputs
Factual accuracy verification
Evaluating output quality: Relevance, coherence, accuracy, creativity
When to use AI vs. human judgment

AI for Microsoft Excel 6 Topics

Generate complex formulas & extract insights instantly.
Identify trends without manual analysis.
Automate workflows for smoother processes.
Enhance enterprise-level analytics & planning.
Enable self-service analytics for quick decisions.
Tools: ChatGPT | Microsoft 365 Copilot | Power Automate | Data Analyzer | Pigment AI | AI Assistant | Others

AI for PowerPoint 5 Topics

AI-Generated Slide Designs & Layouts (Designer & Ideas)
Automatic Slide Summarization & Content Generation
AI-Driven Presentation Coaching (Speaker Coach)
Smart Transitions & Animations with AI
Tools: ChatGPT | Microsoft 365 Copilot |Beautiful.ai | Icons8

AI for SQL 6 Topics

Convert natural language into SQL instantly.
Get AI-driven suggestions for efficiency.
Spot and fix syntax issues effortlessly.
Analyze results and generate recommendations.
Simplify table creation, updates, andjoins.
Tools: ChatGPT | AI Query Generator | AI SQL Copilot (Azure) | PromptSQL | DataRobot AI

AI for Power BI 7 Topics

Ask questions in plain English to generate reports.
Detect trends, anomalies, and patterns instantly.
Get AI-powered Power Query suggestions.
Receive chart and layout recommendations.
Create DAX formulas and relationships with ease.
Generate stakeholder-friendly dashboard summaries.
Tools: ChatGPT | InfoRiver AI | Arria Narratives | ThoughtSpot for Power BI

AI for Python 7 Topics

Discover how Generative AI transforms coding.
Learn to craft effective coding prompts.
Use ChatGPT for faster coding and debugging.
Enhance workflows in IDEs like VS Code & Jupyter using GitHub CoPilot.
Utilize AI responsibly for efficient development.
Leverage AI for data analysis and visual storytelling.
Tools: GitHub Copilot | Microsoft Copilot | ChatGPT

AI in Outlook 5 Topics

AI-Powered Email Drafting & Summarization
Smart Scheduling & Calendar Optimization
AI-Driven Email Categorization & Spam Filtering
Smart Replies & Meeting Insights
Tools: ChatGPT | Microsoft 365 Copilot |Grammarly | Quillbot

AI in Microsoft Teams 4 Topics

AI-Powered Meeting Transcriptions & Summaries
Real-Time AI-Based Translation & Captioning
AI-Driven Chatbots & Virtual Assistants
Smart Meeting Notes & Task Automation

AI for Collaboration and Productivity 4 Topics

Microsoft Copilot Across Office Apps
AI-Driven Task Management with Microsoft To-Do
Automating Repetitive Workflows with Power Automate
AI in OneNote & Whiteboard for Enhanced Collaboration

Future of AI in Business Applications 3 Topics

Emerging AI Trends in Productivity & Data Analytics
AI-Driven Decision-Making in Organizations
Career Opportunities & AI Certifications

Hands On Projects and Case Studies 0 Topics

Advanced Excel

Advanced Excel Training is great for you if you want to get better at managing and analysing data. The course offers Advanced Excel abilities like gaining hands-on experience on advanced excel functions, building interactive reports and dashboards, and managing large data. With real-world industrial projects and hands-on tasks, you'll learn how to work with huge data sets quickly and easily.

15 Modules

Advanced Excel Course Curriculum

Workbook Protection & Security 7 Topics

Introduction to Excel
Password Protect a workbook/worksheet
Hiding & Unhiding Sheets
Protecting Workbook structure
Hiding sheets using VBA developer mode
Hiding Excel Functions
Locking/ Unlocking Cells

Data Types in Excel 8 Topics

Numbers
Text
Date Time
Currency
Percentage
Converting Numbers to Text
Converting Text to Numbers
Changing Date/Time formats

Scale up Speed using Short Keys 5 Topics

Working with Alt Key
Paste special
Insert Row/Column
Switch between worksheets
Navigate all excel features using Keyword

Conditional Formatting 6 Topics

Top Bottom Rules
Highlight Cell Rules
Data Bars
Color Scales
Exploring Rules Manager
Use formulas for cell formatting

Working on Data Tools 9 Topics

Text Filters
Number Filters
Sorting
Multi-level sorting
Text to Columns – Delimiters
Text to Columns – Fixed Width
Remove Duplicates
Data Validations
Grouping

Cell Referencing 3 Topics

Relative Referencing (A1)
Absolute Referencing ($A$1)
Partial Referencing ($A1) / (A$1)

Mathematical Functions 5 Topics

Sum/ Sumif/ Sumifs
Count/ Countif/ Countifs
SumProduct
Round/ Roundup/ Rounddown
Min/ Max/ Average

Logical Functions 5 Topics

If
And
Or
IsText
IsNumber

Lookup Functions 9 Topics

Vlookup
Vlookup with Match Function
Vlookup using (*) problems
Vlookup using Running Countif
Nested Vlookup
Hlookup
Index Match
Indirect
Offset

Text Functions 9 Topics

Char
Concatenate
Exact
Find/ Search
Left
Right
Proper
Mid
Upper

Date-Time Functions 5 Topics

Weekday
Weeknum
Day/ Month/ Year
Date / Time
Hour/ Minute/ Second

Array Functions 2 Topics

Learning functions with {}
Minif, Maxif, etc.

Charts 8 Topics

Line
Column
Pie
Bar
Combo Charts
Waterfall Charts
Doughnut Charts
Dynamic Charts using Pivot Slicers

Pivot Table & Charts 9 Topics

Pivot Table Fields
Filters/ Rows/ Columns/ Values
Insert Slicers
Insert Timelines
Group Selection
Changing Data Source
Report Layouts
Group Selection
Working with Multiple Tables using Relationship

Introduction to VBA programming 2 Topics

Record a Macro
Save macro sheet in .xlsm format

SQL

In the SQL Developer Course, you will learn how to administer databases in a complicated way. You will learn a lot about important topics including SQL Operators, Functions, Subqueries, Views, Stored Procedures, User-defined Functions, SQL Optimisation, Performance Tuning, Database Objects Design & Implementation, and Database Concurrency. At the end of the course, you'll know how to manage and improve databases well, which is a very important skill for positions in analytics and business intelligence.

13 Modules

SQL Certification Course

Introduction 5 Topics

File Management System and Its Drawbacks
Overview of Database Management System (DBMS) and Data Models
Physical Data Models
Logical Data Models
Entity-Relationship (E-R) Model

Introduction to Sql Server 10 Topics

Advantages and Drawbacks of SQL Server Compared to Oracle and DB2
Connecting to Server
Authentication Modes
SQL Server Authentication Mode
Windows Authentication Mode
Login and Password
SQL Server Management Studio and Tools in Management Studio
Object Explorer
Object Explorer Details
Query Editor

Introduction to tsql 19 Topics

Types Of TSQL Commands
Data Definition Language (DDL)
Data Manipulation Language (DML)
Data Query Language (DQL)
Data Control Language (DCL)
Transaction Control Language (TCL)
Database
Creating Database
Altering Database
Deleting Database
Constrains
Procedural Integrity Constraints
Declarative Integrity Constraints
Not Null, Unique, Default and Check constraints
Primary Key and Referential Integrity or foreign key constraints
Data Types In TSQL
Table
Creating Table
Altering/ Deleting Table

Data Manipulation Language 9 Topics

Insert
Identity
Creating A Table From Another Table
Inserting Rows From One Table To Another
Update
Computed Columns
Delete
Truncate
Difference Between Delete and Truncate

Data Query Language (DQL) 12 Topics

Select Clause
Where clause
Top clause
Order By Clause
Distinct Clause
Isnull() function
Column aliases
Predicates
Between … And
In
Like
Is Null

Built In Functions 13 Topics

Scalar Functions
Numeric Functions
Character Functions
Conversion Functions
Date Functions
Aggregate Functions
Convenient Aggregate Functions
Statistical Aggregate Functions
Group By and Having Clauses
Super Aggregates
Over (partition by …) Clause
Ranking Functions
Common Table Expressions (CTE)

Set Operators 3 Topics

Union
Intersect
Except

Joins 9 Topics

Inner Join
Equi Join
Non-Equi Join
Self-Join
Outer Join
Left Outer Join
Right Outer Join
Full Outer Join
Cross Join

Sub Queries 7 Topics

Single Row Sub Queries
Multi Row Sub Queries
Any or Some
ALL
Nested Sub Queries
Co-Related Sub Queries
Exists and Not Exists

Indexes 4 Topics

Clustered Index
Non-Clustered Index
Create, Alter and Drop Indexes
Using Indexes

Security 4 Topics

Login Creation
User Creation
Granting Permissions
Revoking Permissions

Views 3 Topics

Purpose Of Views
Creating, Altering and Dropping Indexes
Simple and Complex Views

Transaction Management 4 Topics

Introduction
Begin Transaction
Commit Transaction
Rollback Transaction

Power BI

The Power BI Course will show you how to make dashboards that look good and let you interact with them. With the help of professionals in the area, you will learn how to turn raw data into usable insights through real-life case studies and training. When you finish the course, you'll be a Certified Power BI Professional and ready to work as an analyst or report writer for big corporations.

12 Modules

Power BI Certification Course Curriculum

Introduction 7 Topics

Power BI Installation
Power BI Desktop
Data Imports into Power BI
Views in Power BI
Building a Dashboard
Publishing Reports
Creating Dashboard in Power BI

Components 8 Topics

Power Query
Power Pivot
Power View
Power Map
Power BI Service
Power BI & QA
Data Management Gateway
Data Catalog

Integration with Data Sources 8 Topics

Connect to DataSources
Power BI SQL Server Integration
Power BI MySQL Integration
Power BI Excel Integration
Python Integration with Power BI Desktop
Power BI Web Integration using APIs
Power BI Salesforce Integration
Power BI Microsoft Integration

Power Query Editor 14 Topics

Change Data type of column
Clean and Transform using Query Editor
Advanced Data sources and transformations
Cleaning irregularly formatted data
Combine Multiple tables
Clusters
Format dates
Groups
Hierarchies
Joins
Pivot table
Query Groups
Split Columns
Unpivot table

Data Models/ Relationship 14 Topics

How Data Model Looks Like
Database Normalization
Data Tables vs Lookup Tables
Primary Key vs Foreign Key
Relationships vs Merged Table
Creating Table Relationships
Creating Snowflake Schemas
Managing & Editing Relationships
Active vs Inactive Relationships
Relationship Cardinality
Many to Many
One to One
Connecting Multiple Data Tables
Filter Flow

Data Analysis Expressions (Dax) Functions 7 Topics

Introduction to DAX
DAX calculation types
Aggregate Functions
Date Functions
Logical Functions
String Functions
Trigonometric Functions

Charts 21 Topics

Area Chart
Bar chart
Card
Clustered Bar chart
Clustered Column chart
Donut chart
Funnel chart
Heat Map
Line Chart
Clustered Column and Line chart
Line and Stacked Column chart
Matrix
Multi-Row Card
Pie chart
Ribbon chart
Stacked Area char
Scatter Chart
Stacked Bar chart
Waterfall chart
Map
Filled Map

Filters 8 Topics

Slicer Basic
Filters
Advanced Filters
Top N Filters
Filters on Measures
Page Level Filters
Report Level Filters
Drill through Filters

Visualizations 12 Topics

Visuals in Power BI
Create and Customize simple visualizations
Combination charts
Slicers
Map visualizations
Matrixes and tables
Scatter charts
Waterfall and funnel charts
Gauges and single-number cards
Modify colors in charts and visuals
Z-Order
Duplicate a report page

Exploring Data 5 Topics

Power BI Service
QuickSights in Power BI
Create and configure a dashboard
Share dashboards with organizations
Install and configure personal gateway

Power BI and Excel 4 Topics

Using Excel Data in Power BI
Upload Excel Data to Power BI
Import Power View and Power Pivot to Power BI
Connect OneDrive for Business to Power BI

Power BI Publishing and Sharing 11 Topics

Introduction to content packs, security and groups
Publish Power BI Desktop reports
Print and export dashboards and reports
Manually republish and refresh your data
Introduction Power BI Mobile
Creating groups in Power BI
Build content packs
Use content packs
Update content packs
Integrate OneDrive for Business with Power BI
Publish to web

Python

The Python Course covers all you need to know about programming in Python, from the basics to more advanced topics. The class covers a wide range of topics, from the basics of programming to more advanced level including Web Scraping, Numpy, Pandas, Data Exploration, Automation, and API Integrations and many more. This hands-on approach makes sure you're ready for employment in Automation, AI, and Data Analysis.

12 Modules

Python for Data Analytics Certification Curriculum

Introduction 6 Topics

Interpreted vs Compiled language
Introduction to Python
Advantages & Disadvantages of Python
Python Installation (Anaconda)
Applications of Python
“Hello World!” in Python

The Basics (DataTypes) 17 Topics

Variables
Keywords
Multiple Assignment
What are Datatypes?
Numbers
Strings
Indexing and Slicing
String Functions
Lists
List Functions
Dictionary
Dictionary Functions
Tuples
Sets
Type Conversion (Str, Int, Float, etc.)
Date & Time (Date, Time and DateTime classes in Python)
Operators (Arithmetic, Comparison, Logical, Assignment, Binary, Identity, Membership Operators)

Conditional Statements & Loops 9 Topics

If-Else statements
Relational Operators
Nested If/Else
Elif Statements
Logical Operators
For Loops
While Loops
Nested Loops
Pass, Break and Continue

Functions 7 Topics

User-defined functions
Unlimited parameters
Global and Local variables
Lambda functions
Map function
Sort function
Error and Exception Handling

Python Comprehensions 4 Topics

List Comprehensions
Dictionary Comprehensions
Set Comprehensions
Tuple Comprehensions (doesn’t exist)

Oops 6 Topics

Classes and Objects
Methods in Classes
Class Attributes
Instance Attributes
Inheritance
Overriding Methods

File Handling 5 Topics

Creating a file
Reading a file
Writing a file
Appending to file
Copying file

Web Scraping 7 Topics

Intro to requests
Intro to BeautifulSoup
Parsing HTML structure into soup
Data extraction from soup/HTML
Wikipedia scraping
News website scraping
Maps scraping

Database Integration 6 Topics

What is a database?
What is SQL (Structure Query Language)?
Introduction to MySQL
Installing MySQL
Connection MySQL with Python
CRUD operations

Multi-Threading 7 Topics

What is multi-threading?
Introduction to parallel processing
Intro to threads
Threading module
Creating threads using threading module
Synchronizing threads
Threads priority queue

Exploratory Data Analysis 4 Topics

Working with NumPy
Working with Pandas
DataFrames
Analyzing a dataset using NumPy and pandas

Natural Language Processing (NLP) 12 Topics

Intro to Natural Language Processing
Installing NLTK toolkit
Working with NLTK Toolkit
Sentence Segmentation
Word Tokenization
Parts-of-Speech Tagging
Lemmatization
Stop-word removal
Named Entity Recognition (NER)
Bag of words model
TF-IDF (Term Frequency – Inverse Document Frequency)
ML modelling

Industry Ready Data Analyst Projects

Get Real-World Experience

Market Basket Analysis for Retail Optimization

This project analysis customer purchase behaviour. You will work upon rule mining techniques and algorithms to identify co-occurring items. Retailers can optimize product placement, inventory management and promotions to increase selling opportunities, enhance customer satisfaction and maximise revenue.

Sentiment Analysis for Social Media Monitoring

This project uses techniques to analyse sentiments in social media posts, online discussions and customer reviews by classifying text data as positive, negative, neutral. It greatly helps businesses to examine public sentiments, emerging trends and make data driven decision making.

320+

Hours of content

80+

Live sessions

Tools and software

AI Skills you can add in your CV

Artificial Intelligence Tools Covered

What Sets This Program Apart?

GyanSetu

Other Courses

all-in-oneAll-in-One Toolkit

Complete roadmap: LLMs, ChatGPT, Prompt Engineering, Agentic AI, RAG, Vector DBs, GenAI Automation, AI Apps Development.

Limited coverage, outdated AI concepts, no real LLM or GenAI implementation.

progress-iconBeginner-to-Pro

Starts from scratch → builds advanced AI application development skills.

Expect prior tech knowledge, leaving beginners confused.

empoweredGen AI Empowered

: Choose your specialization – AI Automation Engineer, Prompt Engineer, AI App Developer, or GenAI Product Builder.

One generic course, no personalization or specialization

How-to-Become-a-Data-AnalystReal Industry Exposure

20+ GenAI projects + 2 live capstone projects like chatbot development, agent automation & AI-driven apps.

1–2 theoretical projects, not industry-relevant.

expertiseLegacy & Expertise

70% hands-on — prompts, RAG systems, AI workflows, automation bots & model fine-tuning.

Mostly slides, lectures, and theory.

mentorshipExpert Mentorship

Learn directly from working AI professionals at Google, Amazon, Microsoft, Deloitte.

Generic faculty not actively working in the AI industry.

Who is this course for?

Students and Recent Graduates
Working Professionals
Career Changers
IT Professionals
Educators and Academic Researchers
Entrepreneurs and Business Owners

Career Assistance for AI Course

Job Opportunities Guaranteed

Get a 100% Guaranteed Interview Opportunities Post Completion of the training.

Access to Job Application & Alumni Network

Get chance to connect with Hiring partners from top startups and product-based companies.

Mock Interview Session

Get One-On-One Mock Interview Session with our Experts. They will provide continuous feedback and improvement plan until you get a job in industry.

Live Interactive Sessions

Live interactive sessions with industry experts to gain knowledge on the skills expected by companies. Solve practice sheets on interview questions to help crack interviews.

Career Oriented Sessions

Personalized career focused sessions to guide on current interview trends, personality development, soft skill and HR related questions.

Resume & Naukri Profile Building

Get help in creating resume & Naukri Profile from our placement team and learn how to grab attention of HR’s for shortlisting your profile.

Top Companies Hiring for Artificial Intelligence Role

Honours & Awards Recognition

GD Goenka University

Livpure

Denso International

ReverseLogix

BML Munjal University

Delivering Training To Wedapt

Manav Rachna University

GLA University

DPGITM

GD Goenka University

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Gyansetu Learner Support

+91 9999 201 478 +919999201478

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Our Learners Testimonials

Ankita Mishra

Gyansetu’s commitment to practical learning has been evident throughout my journey as an Associate at EY. The institute’s focus on hands-on projects and real-world applications of Data Analytics principles equipped me with the skills and confidence needed to tackle complex business challenges in my role.

Anupriya Gupta

Transitioning into the role of Data Analyst at Google, I attribute much of my readiness to Gyansetu's practical learning environment. The institute's hands-on projects and real-world case studies provided me with the opportunity to develop the analytical skills necessary to thrive in a dynamic organization like Google.

Karan Bansal

I had a great learning experience with Gyansetu. The trainers were knowledgeable and supportive. The practical approach and hands-on training helped me in my work as an Insurance Operations Associate at Accenture.

Self Assessment Test

Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals.

Frequently Asked Questions

How long is the Artificial Intelligence Course of the Gyansetu in Noida?

Our Artificial Intelligence Course in Noida is a 6-month, intensive, practical training program. In live projects under expert guidance, you will learn Python, ML, deep learning, and GenAI, building a job-ready portfolio. Flexible pacing guarantees working professionals succeed – apply to Noida to study the best AI program!

Who can enroll in the Artificial Intelligence Course in Noida at Gyansetu?

This course is suitable for Freshers, IT professionals, data analysts, and engineers who wish to pursue careers in AI—no prior experience required.

What is the required prerequisite to take this AI course?

No prior coding would be needed in the Artificial Intelligence course at Noida by Gyansetu! Begin with Python basics, move on to neural networks and NLP. This makes it beginner-friendly and advanced, with structured modules and mentorship, and you can become confident through live projects.

Master TensorFlow, PyTorch, Hugging Face, LangChain, and OpenCV in the Artificial Intelligence Course in Noida, Gyansetu. From ML algorithms to GenAI deployment, ML tools are used to build real projects, such as chatbots and vision systems, deployed in industry.

Yes! Gyansetu offers evening and weekend Artificial Intelligence courses in Noida, ideal for working professionals: live sessions, recordings, and no career breaks.

Indeed, Gyansetu offers placement services guaranteed to Artificial Intelligence Course graduates of Noida: mock interviews, resume optimization, and a network of 500+ Noida employers.

The Gyansetu AI Specialist certification is awarded upon completion of the course. QR-authenticated, portfolio-based credential enhances LinkedIn profiles in Noida IT anticipations.

Yes, we provide lifetime access to recordings, notes, and updates in the Artificial Intelligence Course at Gyansetu in Noida. Keep pace with the changing AI trends, such as agentic AI. Lifelong learning advantage for long-term success: enroll and future-proof your career.

These projects include chatbots, recommendation engines, image recognition, and GenAI applications. This helps to create a GitHub portfolio recruiters are obsessed with.

Yes, interest-free EMI plans are available for the Artificial Intelligence Course at Gyansetu in Noida. Access to high-quality AI education at a low cost.

Yes! In the Artificial Intelligence Course in Noida, Gyansetu offers specialized GenAI modules, including Stable Diffusion and LangChain agents. Develop text-to-image applications and chat services.

Yes, we offer hybrid learning formats. Students can choose based on their preference.

Learners can apply for roles such as AI Engineer, ML Specialist, and Data Scientist. Skilled students can easily get a pay scale of ₹12-25 LPA.

The enrollment process is easy. Students can visit the official website gyasnetu. in and fill out the enquiry form or call directly on +91 9999201478 to get personalized guidance to start your journey.