Generative AI Course in Kolkata Overview

We offer a full-fledged Generative AI Course in Kolkata. Being the leading Generative AI training institute in Kolkata, we have the best trade experience both to the expert and non-expert. We are known to have the best AI course in Kolkata among the freshers due to the intensive practical learning process.

Did you realize that, in a report published by McKinsey in 2024, the global economy could benefit Generative AI to the tune of up to 4.4 trillion dollars a year? Our course will equip you with a rich variety of skills required to achieve this tremendous expansion and professional opportunities that it will provide, such as prompt engineering, fine-tuning LLMs, AI agents, RAG pipelines, advanced image generation, LangChain, and many others. We also offer this complete curriculum through our Generative AI online course Kolkata.

We offer flexible learning options which fit the schedule of learners. This includes 2 month (weekdays), 3 months (Weekends) and 30 days fast-track programme. Learn about how we can change your future today and learn why you should blindly choose Gyansetu.

Why Choose Gyansetu?

At Gyansetu, we offer the most advanced training available. Explore an infinite world of AI application, practical projects, etc.

  1. Advanced GenAI Curriculum: Go beyond the fundamentals and learn all about prompt engineering and state of the art fine-tuning of LLM, and how to build RAG pipelines and intelligent autonomous agents.
  2. Designed for beginners & professionals: Our program is structured, and you get to learn the basics to the expert level. 
  3. Flexible Learning: We offer flexible learning options which makes it easy for learners to learn at their own pace.
  4. Job-Ready Portfolio: Develop actual business applications such as smart chatbots and document question-answer software, and content pipelines to build a list of impressive projects.
  5. In-demand Tools: Acquire experience with the platforms that will play a key role in the industry, including ChatGPT and Midjourney, as well as frameworks to build a project, such as LangChain, Hugging Face libraries.
  6. Placement Support: We offer 100% placement assistance in the form of resume optimization, mock interview and job referrals.
  7. Industry Expert Mentors: Our teachers have decades of relevant experience, and they can share their extensive understanding of implementing the LLM, AI ethics, and scalable deployments on the cloud and the latest trends in technology.
  8. Recognized Certification: Get a prestigious certificate and confirm your full competence in image creation, AI automation, and sophisticated model implementation and more.
  9. Small Batch Sizes: We keep the batch size small to make sure that we can pay attention to each student.
  10. Affordable Prices: Our fee structure is quite affordable with no cost EMI options

generative-ai-course-in-kolkata

Key Highlights of Generative AI 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

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Maximum salary hike
170%
Average salary hike
90%

Our Alumni in Top Companies

Generative AI Course Placement Highlights

Avinash
74 % Hike
Data Analyst
NTK
Google
Data Analyst
Google
Priya Paswan
57 % Hike
Sales Consultant
Hear.com
Senior Data Analyst
Vistara

Batches Timing for Generative AI 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

Generative AI Professional Certification Course in Kolkata

With the booming industry of AI, a localized certificate plays a critical role in distinguishing among the competition. Our certification demonstrates that you have mastered the entire spectrum of GenAI capabilities, including timely engineering and RAG pipelines, sophisticated LLM fine-tuning, AI agents, and so on. Show this industry, share it on LinkedIn, CV, portrait, and social media directly!

  • Industry recognised: Our certification is accepted by the best employers in the world as the evidence of advanced AI skills.
  • Verified authenticity: Every certificate has a special ID code and can be immediately verified by the recruiter with the highest level of security online.
  • Career Impact: Our course connects you instantly to high paying AI jobs in Kolkata and in other cities.

Generative AI Course Curriculum

The Generative AI course in Kolkata will include an incredible amount of curriculum, thriving you at the basic level of knowledge up to the advanced level of AI knowledge. We offer training on an extensive variety of vital skills, such as basic LLM concepts, and the application of autonomous AI agents. You can change your career with a successful transformation only by finding out the power of prompt engineering, new RAG pipelines, new image generation, new cloud deployments, and so on.

Module 1: Artificial Intelligence Fundamentals 6 Topics

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

 

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 9 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
Module 3: Advanced LLMs & Prompting Techniques 7 Topics

3.1 LLM Deep Dive

  • How transformers process language
  • Attention mechanisms visualized
  • Pre-training and next-token prediction
  • Temperature and sampling parameters
  • Top-p, Top-k sampling explained

 

3.2 LLMs vs. Small Language Models (SLMs)

  • When to use LLMs vs. SLMs
  • Edge deployment and efficiency
  • Cost considerations

 

3.3 Popular LLM Comparison

  • GPT-4: Strengths in reasoning and creativity
  • Claude: Long context and nuanced understanding
  • Gemini: Multimodal capabilities
  • LLaMA: Open-source flexibility
  • Use case mapping: Which model for which task?

 

3.4 Advanced Prompting Techniques

  • Self-consistency prompting
  • Instruction tuning and prompt optimization
  • Negative prompting (what to avoid)
  • Constraint-based prompting
  • Persona switching and style guides
  • Prompt chaining for complex tasks

 

3.5 Context Management

  • Working with large documents
  • Context window limitations and strategies
  • Summarization for context compression
  • Conversation history management

 

3.6 Introduction to Embeddings

  • What are embeddings?
  • Vector representations of text
  • Semantic search applications
  • Use cases: Document similarity, recommendation systems

 

3.7 Fine-tuning Basics

  • What is fine-tuning?
  • When to fine-tune vs. prompt engineer
  • Transfer learning concept
  • No-code fine-tuning platforms (brief overview)

4.1 Introduction to Agentic AI

  • What is Agentic AI?
  • Key characteristics: Autonomy, goal-directedness, adaptability
  • Agentic AI vs. Traditional AI workflows
  • Real-world examples: Research agents, customer service agents, coding agents

 

4.2 AI Agents vs. Chatbots

  • Chatbots: Reactive, scripted interactions
  • AI Agents: Proactive, goal-oriented, tool-using
  • Comparison matrix

 

4.3 Components of Agentic AI

  • Memory: Short-term and long-term context retention
  • Planning: Breaking down goals into sub-tasks
  • Tool Use: API calls, web search, code execution, database queries
  • Autonomy: Self-directed task completion
  • Reflection: Self-evaluation and improvement

 

4.4 Agent Frameworks Overview

  • LangChain: Modular components for agent building
  • AutoGen: Multi-agent conversations
  • CrewAI: Role-based agent collaboration
  • OpenAI Assistants API: Built-in agent capabilities
  • Comparison and use case mapping

 

4.5 AI Orchestration

  • What is orchestration?
  • Workflow design for agent tasks
  • Human-in-the-loop (HITL) integration
  • Error handling and fallback strategies

5.1 No-Code AI Overview

  • What is no-code/low-code?
  • Benefits: Speed, accessibility, cost-effectiveness
  • Limitations: Customization constraints, vendor lock-in
  • When to use no-code vs. custom development

 

5.2 Workflow Automation Fundamentals

  • Triggers, actions, and conditions
  • API integrations basics
  • Data mapping and transformation
  • Error handling and testing

 

5.3 Zapier

  • Platform overview and interface
  • Building your first Zap
  • Multi-step workflows
  • AI-powered Zaps with ChatGPT integration
  • Filters, formatters, and utilities
  • Best practices and optimization
  • Hands-on: Automate email-to-task workflow

 

5.4 Make.com

  • Visual workflow builder
  • Modules, routes, and scenarios
  • Advanced routing and error handling
  • Data stores and aggregators
  • Scheduling and webhooks
  • Hands-on: Build a content aggregation workflow

 

5.5 n8n

  • Self-hosted automation (overview)
  • Node-based workflow design
  • Custom code nodes
  • Integrations and credentials management
  • Hands-on: Create a Slack notification system

 

5.6 Notion AI

  • AI writing and editing
  • Database automation
  • Template creation with AI
  • Q&A over workspace knowledge
  • Hands-on: Build an AI-powered knowledge base

 

5.7 Airtable

  • AI-powered data management
  • Automation with AI fields
  • Integration with other tools
  • Building mini-apps
  • Hands-on: Create a project tracker with AI summaries

 

5.8 Glide

  • No-code app builder
  • AI-powered features
  • Data binding and workflows
  • Mobile app prototyping
  • Hands-on: Build a simple internal tool

 

5.9 Canva AI

  • Text-to-design generation
  • AI brand kit creation
  • Magic Resize and Magic Eraser
  • AI-powered content suggestions
  • Hands-on: Create a presentation with AI

 

5.10 Tome AI

  • AI-powered storytelling
  • Auto-generating narratives
  • Interactive presentations
  • Hands-on: Build a pitch deck

 

5.11 Gamma.app

  • AI slide deck creation
  • One-click formatting
  • Collaborative editing
  • Hands-on: Generate a training module

 

5.12 Integrating AI into Business Processes

  • Identifying automation opportunities
  • Workflow mapping and optimization
  • Change management considerations
  • Measuring ROI of automation
  • Building a toolkit for your role

6.1 Agent Design Principles

  • Defining agent goals and scope
  • Task decomposition
  • User experience considerations
  • Edge case handling

 

6.2 No-Code Agent Platforms

  • Relevance AI: Building AI teams
  • Stack AI: Workflow-based agents
  • Flowise: Visual LLM app builder
  • Voiceflow: Conversational agents
  • Platform comparison and selection

 

6.3 Building Your First Agent

  • Step-by-step agent creation
  • Defining instructions and personality
  • Adding tools and integrations
  • Knowledge base integration (RAG)
  • Testing and iteration

 

6.4 Practical: AI Research Assistant Agent

  • Goal: Automated web research and summarization
  • Components:
    1. Web search capability
    2. Content extraction
    3. Summarization
    4. Report generation
    5. Email delivery
    6. Tools: n8n/Make + GPT API + Google Docs
  • Build process:
    1. Design the workflow
    2. Set up web search module
    3. Configure summarization
    4. Create output template
    5. Add scheduling
    6. Test and refine

 

6.5 Advanced Agent Features

  • Memory and context persistence
  • Multi-tool orchestration
  • Conditional logic and branching
  • User input handling
  • Feedback loops

 

6.6 Deployment & Monitoring

  • Publishing your agent
  • Usage analytics
  • Performance monitoring
  • Iterative improvement
  • Cost management

7.1 AI Challenges

 

Bias

  • What is AI bias?
  • Sources: Training data, algorithm design, human feedback
  • Types: Gender, racial, cultural, socioeconomic
  • Real-world examples and consequences
  • Detection and mitigation strategies

 

Hallucinations

  • What are hallucinations?
  • Why LLMs hallucinate
  • Identifying hallucinations
  • Mitigation: Verification, grounding, confidence scoring

 

Privacy & Security

  • Data privacy concerns
  • Prompt injection attacks
  • Data leakage risks
  • Secure AI usage practices
  • Compliance considerations (GDPR, CCPA)

Misinformation & Deepfakes

  • AI-generated content detection
  • Deepfake risks
  • Watermarking and provenance
  • Media literacy in AI age

 

7.2 Responsible AI Principles

  • Fairness: Eliminating discriminatory outcomes
  • Accountability: Clear ownership and responsibility
  • Transparency: Explainability and disclosure
  • Explainability: Understanding AI decisions
  • Privacy: Data protection and consent
  • Safety & Security: Robustness and resilience
  • Human Control: Human-in-the-loop systems

 

7.3 Global AI Ethics Frameworks

 

OECD AI Principles

  • Inclusive growth and sustainability
  • Human-centered values
  • Transparency and explainability
  • Robustness and safety
  • Accountability

 

EU AI Act

  • Risk-based approach
  • Prohibited AI practices
  • High-risk AI systems
  • Transparency obligations
  • Compliance requirements

 

NITI Aayog (India)

  • #AIForAll vision
  • Responsible AI strategy
  • Focus on explainability and fairness
  • Sector-specific guidelines

 

UNESCO Recommendation on AI Ethics

  • Human rights and dignity
  • Environmental sustainability
  • Cultural diversity
  • Gender equality

 

Microsoft Responsible AI

  • Six principles framework
  • Impact assessments
  • Governance structure
  • Practical tools

 

7.4 Safe & Responsible Usage

 

Verifying AI Outputs

  • Cross-referencing with trusted sources
  • Fact-checking methodologies
  • Using multiple AI models for comparison
  • Critical evaluation frameworks

 

Human-in-the-Loop (HITL) Systems

  • When to require human oversight
  • Designing HITL workflows
  • Balancing automation and control
  • Decision authority frameworks

 

Trust & Compliance

  • Building organizational AI policies
  • Training and awareness programs
  • Audit trails and documentation
  • Incident response plans

 

7.5 Responsible AI Guardrails

  • Input validation and filtering
  • Output moderation
  • Rate limiting and abuse prevention
  • Content policies and guidelines
  • Monitoring and alerting systems

 

7.6 Case Studies of AI Misuse

  • Amazon’s biased recruiting tool
  • COMPAS recidivism algorithm
  • Deepfake political videos
  • ChatGPT jailbreaks and prompt injection
  • Lessons learned and best practices

 

7.7 Building Ethical AI Culture

  • Organizational responsibilities
  • Individual accountabilities
  • Ethical decision-making frameworks
  • Continuous learning and adaptation

Multimodal AI

  • GPT-4 Vision, Gemini 1.5 Pro
  • Audio and video generation
  • Applications in business

 

AI Video & Audio Tools

  • Runway ML, Synthesia, ElevenLabs
  • Use cases: Training videos, marketing content
  • Ethical considerations

 

Retrieval-Augmented Generation (RAG)

  • What is RAG?
  • Building knowledge bases
  • No-code RAG solutions

 

AI in Code Generation

  • GitHub Copilot, Cursor, Replit AI
  • Low-code development acceleration
  • When to use AI coding assistants

Industry Ready Data Analyst Projects

Designed by Industry Experts
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.

clock-icon
320+
Hours of content
video
80+
Live sessions
hammer
7+
Tools and software

Generative AI Skills you can add in your CV

Generative AI Tools Covered

What Sets This Program Apart?

GyanSetu
Other Courses
all-in-one Complete Toolkit

✔ LLM fundamentals & Gen AI models
✔ Transformers & Diffusion models
✔ Toolkits for app building (APIs, Agents)
✔ Deployment & scaling

✘ Only basic AI theory
✘ Limited tooling exposure

progress-icon Beginner to Pro Roadmap

✔ Starts from fundamentals → advanced Gen AI solutions

✘ No structured progression

empowered AI-Powered Learning

✔ Built-in AI learning + Gen AI tools and projects

✘ No AI tools covered

focused Career Specialization

✔ AI Engineer
✔ GenAI Developer
✔ Prompt Engineering Specialist

✘ Only general AI overview

exposure Real Industry Projects

✔ Chatbots
✔ Autonomous agents
✔ Deployable AI apps

✘ Only demos / sample projects

mentorship Industry Mentors

✔ Mentors with real AI engineering experience

✘ Generic instructors

practice Career Support

✔ Resume building
✔ Mock interviews
✔ Placement assistance

✘ No structured job support

course in gurgaon
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 Generative AI Course

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Job Opportunities Guaranteed

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

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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.

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Career Oriented Sessions

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

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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 Generative AI Role

Honours & Awards Recognition

Awarded by GD Goenka University
GD Goenka University
Gyansetu conducted Power BI training for Livpure employees
Livpure
Gyansetu conducted Advanced Excel training for Denso International Employees
Denso International
Gyansetu conducted Full Stack Development training for ReverseLogix employees
ReverseLogix
Gyansetu conducted Advanced Java training for BML Munjal University students
BML Munjal University
Delivering training to Wedapt
Delivering Training To Wedapt
Gyansetu conducted workshop on Cloud Computing and Data Analytics for Manav Rachna University students
Manav Rachna University
Gyansetu conducted Java workshop for GLA University students
GLA University
Gyansetu conducted Data Analytics Workshop for DPGITM students
DPGITM
Certificate Issued to Gyansetu by GD Goenka University
GD Goenka University

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Gyansetu Learner Support

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.
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FAQs: Generative AI Course in Kolkata

Q1: How long does the Generative AI course in Kolkata take?

Students have the flexibility of duration with our course. Our training programs take 2 months of weekdays training, or 3 months of weekend training and 30 days fast-track batch. Our full range of curriculum is encompassed in all options to include prompt engineering and advanced implementations of LLM, among many more!

Q2: What makes you the best Generative AI training institute in Kolkata?

We provide the best hands-on training in the area. Being one of the most successful Generative AI training centers in Kolkata, we are concentrated on practical business situations and projects. You are going to know the necessary skills, such as the creation of AI agents, RAG pipelines, intelligent chatbots, and innumerable other sophisticated methods. We offer personal guidance with our experts, that is why we are proud to offer the best course on AI among freshers as well as professionals in Kolkata.

Q3: What are the fees for this Generative AI training in Kolkata?

Our Generative AI Course investment in Kolkata is highly competitive and provides outstanding value on your career with no cost EMI options. You will have access to huge course materials, real-world projects, ChatGPT, Midjourney, and others. Call us at a tollfree number and get a good payment package.

Although some basic idea of programming is advantageous, our programme is set so as to be easy to follow by people of all backgrounds. It is possible to achieve successful participation without much experience in coding. In our training, you develop your knowledge gradually, beginning with the basics and going on to more advanced methods in the form of API integrations, cloud deployments, Python automation, and many more. This has made us get the reputation of being the best AI course in Kolkata among freshers.

Absolutely! We have a smooth Generative AI online course Kolkata that will provide a student with the convenience of distance education. You shall be given the very same high-quality learning, interactive live classes, and exposure to our full-fledged curriculum. Online you will learn a great variety of skills, both LangChain and Hugging Face, or more complicated multimodal AI creations, and many others. In this manner, you will be able to have the same interactive project experience at the comfort of your home.

Our curriculum is so comprehensive and visionary. You are not only going to get to know the fundamentals but also explore new innovative technologies. Advanced prompt engineering, fine-tuning LLMs, image generation, and a variety of other topics are taught in the course material. We guarantee that you get acquainted with such irreplaceable resources like Claude, Gemini, Stable Diffusion, and a plethora of other places that take up the industry.

Yes, our globally recognised certificate will be awarded to you on successful completion of the Generative AI Course in Kolkata. This is an award document that certifies your profound knowledge in a wide range of skills, such as development of LLM, RAG architecture, and others. You are able to post this certificate to LinkedIn, include it to your resume, and incorporate it into your professional portfolio to instantly be noticed by the best employers in the tech industry.

The possibilities of career are literally boundless. Once we finish our best AI course in Kolkata to freshers and professionals, you will be well placed in the in-demand jobs. Think of such vacancies as Prompt Engineer, AI Solutions Consultant, Generative AI Developer and others. The opportunity to work in AI in Kolkata is increasing manifold and our large placement team will assist you to enter this high paying industry immediately.

Yes, our Generative AI training institute in Kolkata is based on practical experience. By undertaking numerous projects involving real world business, you will create a fantastic portfolio. This involves creation of smart customer service chatbots, auto content creators, smart document question and answer, and many more. Through on-the-job training on state-of-the-art equipment, we ensure you know how to add value in any professional environment immediately.

We make sure that you deal with the latest and strongest technologies available in the market. You will learn dozens of tools, such as ChatGPT, Midjourney, LangChain, Pinecone, and Hugging Face, among others, during our classes. We educate you on the use of different LLMs, APIs, and frameworks. In this manner, you will be thoroughly prepared to handle any intricate AI challenge in the contemporary business environment.

Whereas the traditional Machine Learning is primarily concerned with the analysis of data and prediction of patterns, Generative AI takes a huge step further by producing completely new content. You will be taught in our course to use AI to create text, code, images, audio, and so on. We provide the most comprehensive training to make you perfect in these new creative and innovative applications in AI.

Trainers in our Generative AI training institute in Kolkata will be the best minds in the AI industry. We have enthusiastic educators with years of practical experience in the design, construction, and implementation of the complicated enterprise-level AI systems. They do not just exchange theoretical information but also take you through tough use cases, ethical AI applications, scalable cloud applications, and a million more real life situations that will equip you with all the skills to have a bright career.

Absolutely! Our programme is believed to be the most successful AI course among freshers in Kolkata due to the ideal balance of theoretical knowledge and the detailed practice. We introduce you to the very fundamentals of the basic knowledge and then take you to the top level of expertise. You will gain invaluable skills, such as data analysis using AI, automating business processes, timely creating and many others. This will make your new career have a colossal competitive edge at the very onset.

Our career support is unmatched, and we are very proud of it. We will also actively assist you to get a job as soon as you have completed the Generative AI Course in Kolkata. This involves all round CV optimisation, intensive interview practice, building of portfolios, and unique introductions to our extensive list of best employers. We train you in technical and strategic positions, such as AI developer to innovation consultant, and a host of other amazing career prospects.

The intended audience to our course is a large group of motivated professionals. This training is of immense value regardless of the profession of a software developer, data scientist, marketer, or product manager. You will also know how to use AI tools strategically in your case. We do it all; code generation and process automation, content creation and creative content, and so many more applications to remake your day-to-day work.

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