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Data Science with Generative AI + Agentic AI Certification Course - syllabus

Data Science with Generative AI + Agentic AI Certification Course in Bangalore

Our Data Science with Generative AI + Agentic AI Certification Course is designed for beginners, fresh graduates, developers, and IT professionals who want to master modern AI technologies and build intelligent, data-driven applications.

This industry-focused program provides in-depth training on:

Python Programming
Data Science & Analytics
Machine Learning
Deep Learning
Large Language Models (LLMs)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
LangChain
Agentic AI
MLOps & AI Deployment

With 100% hands-on labs, live projects, placement assistance, and mentorship from AI industry experts, this is Bangalore’s most job-oriented Data Science + Generative AI training program.

Whether you are starting your AI journey or upgrading your skills for high-paying AI jobs, our flexible online and classroom batches (weekday/weekend) fit your schedule perfectly.

Enroll now to get a Free Demo Class + AI Project Kit!

What is Data Science, Generative AI & Agentic AI? – The Future of Intelligent Systems

Data Science

Data Science is the process of extracting insights from data using:

Programming
Statistics
Machine Learning
Visualization
Business Intelligence

Generative AI

Generative AI is an advanced form of Artificial Intelligence that enables machines to generate:

Human-like text
Images
Code
Reports
Smart recommendations

using powerful Large Language Models (LLMs).

Agentic AI

Agentic AI takes it to the next level by creating autonomous AI systems that can:

Think
Plan
Reason
Use tools
Execute multi-step tasks independently

Together, Data Science + Generative AI + Agentic AI are transforming:

Business automation
Customer experience
Software development
Data analytics
Decision-making
Enterprise workflows

This course helps you master all these technologies to build real-world AI-powered applications from scratch.

Why Learn Data Science with Generative AI & Agentic AI in 2026? – The Ultimate Career Accelerator

The Unstoppable Rise of AI in Modern IT

In today’s AI-driven world, Data Science and Generative AI have become the most in-demand technologies across every industry.

From AI-powered analytics to intelligent automation agents, companies are rapidly adopting AI solutions to stay competitive.

As we move into 2026, the demand for professionals skilled in:

Data Science
Machine Learning
LLMs
RAG
AI Agents

is exploding across IT, healthcare, finance, retail, and enterprise automation.

Key Statistics That Prove AI’s Dominance

93% of global enterprises are investing in AI and automation
AI-related job postings have grown by 80% year-over-year
Certified AI professionals earn 45% higher salaries than traditional IT roles
Over 75% of software companies are integrating AI-powered solutions
Generative AI market expected to reach $200+ Billion by 2027

7 Compelling Reasons to Master This Course in 2026

1. The AI Revolution Demands Data + AI Skills

Organizations need professionals who understand both data science and AI
Generative AI is now a must-have skill for developers and analysts

Average Salary in India: ₹10–24 LPA
Global Average: $110,000+

2. AI Automation is Reshaping Every Business

Companies are replacing manual analytics with AI systems
AI-powered copilots and assistants are becoming standard
Automation reduces operational costs by up to 60%

3. Data Science + AI is the Most Powerful Tech Combination

Enterprises need experts who can:
✔ Analyze data
✔ Build ML models
✔ Deploy AI systems
✔ Automate decisions

4. Agentic AI is the Future Workforce

Agentic AI enables:

Autonomous decision-making
Self-executing workflows
Intelligent virtual employees
AI-powered business automation

5. Prompt Engineering is a Premium Skill

Writing effective AI prompts is now a high-value expertise
Companies hire specialists just for AI optimization
Prompt Engineers are among the highest-paid AI professionals

6. AI Safety & Responsible AI are Critical

AI governance is becoming mandatory
Demand for experts in AI guardrails is increasing
Ethical AI implementation is a top-priority role

7. Future-Proof Career Opportunities

Top roles after this course:

Data Scientist
Machine Learning Engineer
Generative AI Engineer
AI Automation Engineer
LLM Engineer
AI Solutions Architect

Career Opportunities After This Certification

This certification opens doors to high-paying, future-ready AI roles.

Top Career Paths After This Course

1. Data Scientist

Responsibilities:

Data analysis
Machine learning
Business insights

2. Generative AI Engineer

Responsibilities:

Build AI-powered applications
Work with LLMs
Develop intelligent systems

3. AI Automation Engineer

Responsibilities:

Build Agentic AI systems
Automate workflows
Enterprise AI integration

4. Prompt Engineer

Responsibilities:

Design AI prompts
Optimize outputs
Reduce hallucinations

5. LLM Engineer

Responsibilities:

Fine-tune models
Build custom AI assistants
Work with open-source LLMs

6. AI Solutions Architect

Responsibilities:

Design enterprise AI strategies
Lead AI transformation
Build scalable AI systems

Essential Skills You Will Master in This Course

Core Data Science Skills

Python Programming
Statistics
Data Analysis
Visualization
SQL
Machine Learning
Deep Learning

Generative AI & LLM Skills

Large Language Models
Prompt Engineering
RAG Systems
Vector Databases
LangChain
AI Agents
Multi-Modal AI

Advanced AI Development Skills

LLM Fine-tuning
LoRA / QLoRA / PEFT
Custom AI Applications
AI Evaluation
Hallucination Reduction
AI Guardrails

Cloud & Deployment Skills

FastAPI / Flask
Docker
MLOps
CI/CD for AI
AI Monitoring

Industry Insight

90% of employers seek AI professionals with hands-on project experience
Certified AI experts get 3x more interview calls
Practical AI skills = Higher salary packages

Internship & Placement Support

At Cambridge Infotech, we don’t just teach AI – we launch your career.

Our Placement Support Includes:

Guaranteed Internship on live AI projects
Dedicated Placement Cell
300+ Hiring Partners
Resume & LinkedIn Optimization
Mock Interviews
Exclusive AI Job Portal Access

Recent Placement Stats

92% placement rate within 3 months
Average salary: ₹10–20 LPA
Top recruiters: Accenture, IBM, Infosys, AI startups

Why Choose Cambridge Infotech?

7 Reasons We’re Bangalore’s Best AI Training Institute

Industry-Aligned Curriculum
Expert AI Trainers
100% Hands-on Training
Real-Time Projects
Placement-Focused Program
Flexible Online & Classroom Batches
Trusted by 10,000+ Students

Who Should Take This Course?

➔ IT Professionals

Software Developers
Data Analysts
Cloud Engineers
Automation Engineers

➔ Students & Freshers

Engineering Graduates
AI Enthusiasts
Career Switchers

➔ Working Professionals

DevOps Engineers
Data Scientists
Project Managers
Business Analysts

Ready to Launch Your AI Career?

Limited-Time Offers for 2026 Enrollments!

Talk to a Career Advisor: 099024 61116
Bangalore – Online & Classroom Batches Available

Join Now – Become a Certified Data Science + Generative AI + Agentic AI Expert!

Learn Microsoft Azure the Easy Way – Build a Strong Cloud Career

Our Azure Cloud Computing Course in Bangalore is designed for beginners, students, developers, and IT professionals who want to start or grow their career in cloud computing.

This practical and job-focused program helps you learn Microsoft Azure from basics to advanced concepts with real-world examples and hands-on training.

What You Will Learn in This Course

This course provides complete training on:

Cloud Computing Basics
Microsoft Azure Fundamentals
Azure Virtual Machines
Azure Storage Services
Azure Networking
Azure Security & Identity
Azure App Services
Azure Databases
Azure DevOps
Azure Monitoring & Deployment

With step-by-step guidance and practical labs, you will gain the confidence to work on real Azure projects.

Why Learn Azure Cloud Computing in 2026?

Cloud computing is one of the fastest-growing technologies in the IT industry. Almost every company today is moving to the cloud, and Microsoft Azure is one of the top cloud platforms in the world.

Top Reasons to Learn Azure

Huge demand for Azure professionals
High-paying cloud jobs
Growing number of cloud-based companies
Great career opportunities worldwide
Easy transition for IT professionals
Strong future-proof technology

Career Benefits

Cloud computing jobs are increasing every year
Certified Azure professionals earn higher salaries
Azure skills are required in all major IT companies
Cloud knowledge opens global job opportunities

Who Should Take This Course?

This Azure course is perfect for:

Fresh graduates
IT professionals
Software developers
System administrators
Network engineers
Technical support engineers
Anyone interested in cloud computing

No prior cloud knowledge is required – we start from basics.

Career Opportunities After This Course

After completing this certification, you can apply for roles like:

Azure Cloud Engineer
Cloud Administrator
Azure DevOps Engineer
Cloud Support Engineer
System Engineer
Cloud Consultant
Solutions Architect

Average Salary Range

Freshers: ₹4 – 8 LPA
Experienced: ₹10 – 20+ LPA

Skills You Will Gain

By the end of this course, you will master:

Understanding of cloud concepts
Working with Azure portal
Managing virtual machines
Configuring Azure storage
Creating cloud networks
Deploying applications
Cloud security best practices
Monitoring cloud environments

Hands-on Training Approach

We believe in learning by doing.

That’s why this course includes:

Live practical labs
Real-world projects
Industry-based scenarios
Step-by-step assignments
Trainer guidance and support

You will work on real Azure environments instead of only theory.

Placement Support & Career Assistance

At Cambridge Infotech, we don’t just teach – we help you build a career.

Our Placement Support Includes:

Resume preparation
Interview training
Mock interviews
Job assistance
Dedicated placement team
Access to hiring partners

Recent Placement Highlights

High placement success rate
Support for freshers and experienced candidates
Opportunities with top IT companies

Why Choose Cambridge Infotech for Azure Training?

We are one of the most trusted training institutes in Bangalore.

What Makes Us Different

Simple and easy teaching method
Experienced cloud trainers
Practical-focused training
Small batch size
Flexible timings
Online and classroom options
Affordable course fees

Thousands of students have successfully started their cloud careers with us.

Course Features

Beginner-friendly training
Real-time projects
Certification guidance
Weekend and weekday batches
Online and offline classes
Lifetime learning support

Ready to Start Your Cloud Journey?

Take the first step toward a successful cloud career today!

Talk to a Career Advisor: 099024 61116
Location: Bangalore – Online & Classroom Batches Available

👉 Enroll Now and Become a Microsoft Azure Cloud Professional!

Join Our Azure Cloud Computing Course in Bangalore and Build a Bright IT Future!

This Azure Fundamentals Training Course will give you a solid foundation and practical skills for the Microsoft Certified: Azure Fundamentals Exam. Our Azure Cloud Computing Course goes beyond theoretical concepts, offering hands-on labs and real-world projects reinforcing your understanding of Azure services.

The course helps you get ready for the Microsoft Certified: Azure Fundamentals Exam, an important certification in the cloud industry.

We understand the importance of flexibility. Our course fees come with convenient EMI options to make your learning journey hassle-free. Maximize your career prospects with our unwavering placement assistance. We connect you with industry partners, ensuring a seamless transition into the workforce.

Data Science with Generative AI + Agentic AI Course Content

Python Programming (40 Hours)

 Introduction to Python, Installation, IDEs– 2 Hours
 Variables, Data Types, Type Conversion – 2 Hours
 Operators and Expressions – 2 Hours
 String Manipulation – 2 Hours
 Control Flow (Conditional Statements & Loops) – 6 Hours
 Lists, Tuples, Sets, Dictionaries – 4 Hours
 Functions & Lambda Expressions – 4 Hours
 Map, Filter, Reduce – 2 Hours
 List Comprehension & Introduction to OOP – 2 Hours
 OOP Concepts (Classes, Objects, Encapsulation) – 2 Hours
 Inheritance & Polymorphism – 2 Hours
 Abstraction (Modules & Packages) – 2 Hours
 Case Study – 2 Hours
 Exception Handling – 2 Hours
 File Handling (File I/O) – 4 Hours

NumPy (8 Hours)

 Introduction to NumPy & Array Basics – 2 Hours
 Array Creation & Manipulation – 2 Hours
 Mathematical & Statistical Functions, Random Numbers – 2 Hours
 Array Operations & Broadcasting – 2 Hours

Pandas (18 Hours)

 Introduction to Pandas – 2 Hours
 Loading Data & Pandas Data Structures – 2 Hours
 Indexing, Selecting & Filtering – 2 Hours
 Working with Columns – 2 Hours
 Aggregations & Grouping – 2 Hours
 Sorting & Ranking – 2 Hours
 Merging, Joining & Concatenation – 2 Hours
 Pivot Tables & Crosstabs – 2 Hours
 Data Visualization using Pandas – 2 Hours

Matplotlib (8 Hours)

 Introduction to Matplotlib – 2 Hours
 Plotting & Plot Types – 2 Hours
 Subplots & Layouts – 2 Hours
 Customization, Legends & Annotations – 2 Hours

Seaborn & Exploratory Data Analysis (12 Hours)

 Introduction to Seaborn & Comparison with Matplotlib – 2 Hours
 Categorical & Distribution Plots – 2 Hours
 Relational Plots, Heatmaps & Matrix Plots – 2 Hours
 Faceting, Styling & Customization – 2 Hours
 EDA Hands-on Project – 2 Hours
 EDA Hands-on Project – 2 Hours

Statistics (28 Hours)

Descriptive Statistics – 14 Hours
 Introduction to Statistics & Data Types – 2 Hours
 Measures of Central Tendency – 2 Hours
 Measures of Dispersion – 2 Hours
 Distribution & Shape of Data – 2 Hours
 Data Visualization – 2 Hours
 Correlation & Covariance – 2 Hours
 Descriptive Statistics in Python – 2 Hours
Inferential Statistics – 14 Hours
 Probability Concepts – 2 Hours
 Probability Distributions – 2 Hours
 Sampling & Central Limit Theorem – 2 Hours
 Confidence Intervals – 2 Hours
 Hypothesis Testing Basics – 2 Hours
 Common Hypothesis Tests – 2 Hours
 Inferential Statistics in Python – 2 Hours

Web Scraping (12 Hours)

 Regular Expressions – 4 Hours
 Web Scraping - 6 Hours
 Hands-on Project – 2 Hours

SQL (20 Hours)

 SQL Basics & SELECT – 2 Hours
 ORDER BY, LIMIT, ALIAS – 2 Hours
 Aggregate Functions – 2 Hours
 GROUP BY – Deep Dive – 2 Hours
 String & Date Functions – 2 Hours
 JOINs – 2 Hours
 Subqueries – 2 Hours
 Window Functions – 2 Hours
 Set Operations – 2 Hours
 Hands-on Project – 2 Hours

Machine Learning (60 Hours)

 Supervised Learning – 30 Hours
 Unsupervised Learning – 14 Hours
 Feature Engineering & Selection – 4 Hours
 Model Creation – 4 Hours
 Model Evaluation – 4 Hours
 Hyperparameter Tuning – 4 Hours

ML Model Deployment & Pipelines (6 Hours)

 ML Pipelines – 2 Hours
 Streamlit – 4 Hours

Deep Learning (80 Hours)

 Introduction to Deep Learning – 2 Hours
 Perceptron – 2 Hours
 Activation & Loss Functions – 6 Hours
 Optimizers – 6 Hours
 Artificial Neural Networks (ANN) – 16 Hours
 Convolutional Neural Networks (CNN) – 24 Hours
 Recurrent Neural Networks (RNN) – 24 Hours

LLMs & Ecosystems (6 Hours)

 NLP → Transformers → LLMs
 Pre-training, Instruction Tuning & RLHF
 Tokenization & Context Windows
 Embeddings & Use Cases
 Popular LLMs (GPT, Claude, LLaMA, Mistral, Gemini)
 Open-source vs Closed Models
 Capabilities & Limitations
 Hallucinations in LLMs

Prompt Engineering (6 Hours)

 Prompting Fundamentals
 Zero-shot, One-shot & Few-shot
 System, User & Assistant Roles
 Prompt Templates
 Chain-of-Thought
 ReAct Prompting
 Structured Outputs (JSON, Tables, Code)
 Prompt Chaining
 Hallucination Reduction
 Prompt Testing & Versioning

Retrieval-Augmented Generation - RAG (20 Hours)

 RAG Need & Architecture
 Document Loading & Cleaning
 Chunking Strategies
 Embedding Models
 Vector Databases (FAISS, Pinecone, Chroma, Weaviate)
 Similarity Search
 Metadata Filtering
 Query Expansion & Re-ranking
 Context Optimization
 RAG Failures & Fixes

LLM Fine-Tuning (16 Hours)

 Fine-Tuning vs Prompting vs RAG
 Supervised Fine-Tuning
 LoRA, QLoRA, PEFT
 Instruction & Chat Tuning
 Dataset Creation
 Training Pipelines
 Open-source Model Tuning
 Evaluation
 Overfitting & Alignment

LangChain & Agentic AI (18 Hours)

 LangChain Core Concepts
 Chains & Prompt Templates
 Tools & Function Calling
 Memory Types
 Agents & Architectures
 ReAct & Planning Agents
 Multi-step Execution
 Error Handling
 Observability & Debugging

Multi-Modal RAG (18 Hours)

 Multi-Modal AI Fundamentals
 Multi-Modal Embeddings
 Image & Text Retrieval
 Vision-Language Models
 Vector Databases for Multi-Modal Data
 Cross-Modal Search
 Document AI (PDFs, Scans)
 Industry Use Cases
 Optimization Challenges

LLM Evaluation, Safety & Guardrails (6 Hours)

 Evaluation Challenges
 Human vs Automated Evaluation
 Metrics (BLEU, ROUGE, BERTScore)
 LLM-as-a-Judge
 Hallucination Detection
 Guardrails
 Prompt Injection Attacks
 Bias & Toxicity
 Red Teaming
 Responsible AI

MLOps – End to End Project Session (18 Hours)

MLOps Lifecycle for GenAI
 Experiment Tracking
 Data Versioning
 CI/CD Pipelines
 Drift Detection
 Cost Optimization
 Security
 MLOps Tools

Deployment (12 Hours)

 Model Serving Strategies
 REST & Streaming APIs
 Docker & Containers
 Flask / FastAPI APIs
 Scaling & Load Balancing
 Latency Optimization
 Caching
 Cost Control
 Monitoring & Incident Management

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What you’ll learn

Data Science Foundations
Python for analytics | Statistics & probability | Data cleaning | Exploratory Data Analysis | Data preprocessing
Professional Data Analytics
Pandas & NumPy | Data visualization | SQL for Data Science | Business analytics | Real-world datasets
Machine Learning Essentials
Regression & classification | Supervised & unsupervised learning | Feature engineering | Model evaluation
Generative AI Concepts
LLMs fundamentals | Prompt Engineering | AI content generation | Working with AI models
Agentic AI Development
Building AI agents | Workflow automation | AI reasoning | Multi-agent systems
AI-Powered Workflows
RAG systems | Vector databases | LangChain | Intelligent AI pipelines
Advanced AI Techniques
LLM fine-tuning | LoRA / PEFT | Hallucination control | AI safety
Deep Learning Integration
ANN, CNN, RNN basics | Neural networks | Real-time AI applications
AI Model Deployment
FastAPI & Streamlit | Docker | Cloud basics | End-to-end AI deployment
Career Boosting Skills
Portfolio building | Resume & LinkedIn optimization | Mock interviews
Real-World Projects
AI chatbot | RAG assistant | Predictive analytics | Business dashboards
Certification Preparation
Practical assessments | Project reviews | Job-ready certification
Client Workflows
Enterprise AI solutions | Requirement analysis | AI project lifecycle
Pricing & Contracts
Freelancing basics | AI project costing | Client proposals & contracts

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Testimonials: Hear From Our Happy Students

Discover why we’re the top choice! Dive into our reviews and see why students love us. Join us today and experience excellence firsthand!

The Voice of Success: Explore Our Student Testimonials

The Data Science with Generative AI & Agentic AI Course at Cambridge Infotech is outstanding. The instructors are very knowledgeable and provide clear, concise explanations. The practical sessions are particularly beneficial, allowing hands-on experience. I highly recommend this course for anyone looking to enhance their cloud skills.

I found the Data Science with Generative AI & Agentic AI course at Cambridge Infotech to be very comprehensive. The curriculum covers all essential topics, and the instructors are patient and helpful. The real-world examples used in the classes made complex concepts easier to understand. It's definitely worth the investment.

This course exceeded my expectations in every way. The instructors at Cambridge Infotech are experts in their field and offer valuable insights. The interactive sessions and labs are very engaging and informative. I feel much more confident in my AI skills after completing this course.

Cambridge Infotech offers an excellent Data Science with Generative AI & Agentic AI Course . The content is well-structured and up-to-date with the latest industry standards. The support from instructors is phenomenal, and they are always ready to clear doubts. It's a great place to learn cloud computing.

I had a fantastic learning experience at Cambridge Infotech. The Data Science with Generative AI & Agentic AI Course is detailed and thorough. The instructors' real-world experience adds immense value to the learning process. The course also offers plenty of hands-on practice, which is crucial for mastering Azure.

The Data Science with Generative AI & Agentic AI Course at Cambridge Infotech is one of the best I've taken. The instructors are highly experienced and skilled at explaining complex concepts. The course material is very relevant, and the practical labs are extremely helpful. Highly recommended for cloud enthusiasts.

I am very impressed with the Data Science with Generative AI & Agentic AI Course at Cambridge Infotech. The training provided is top-notch, and the instructors are very supportive. The course is well-paced and covers all critical aspects of Azure. It has greatly improved my understanding and skills in cloud computing.

Cambridge Infotech's Data Science with Generative AI & Agentic AI Course is excellent. The instructors are very knowledgeable and approachable. The course content is up-to-date and includes a lot of practical exercises. I have learned a lot and feel more confident in my Azure abilities now.

This Data Science with Generative AI & Agentic AI Course at Cambridge Infotech is comprehensive and well-organized. The instructors provide clear explanations and are always available to help. The hands-on labs are very beneficial and make learning practical and fun. I highly recommend this course.

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I had a great experience with the Data Science with Generative AI & Agentic AI Course at Cambridge Infotech. The course content is comprehensive and well-structured. The instructors are very knowledgeable and helpful. The practical labs are excellent for understanding real-world applications of Azure.

Cambridge Infotech's Data Science with Generative AI & Agentic AI Course is fantastic. The instructors are very experienced and make learning engaging. The course covers all essential topics and provides plenty of hands-on practice. I highly recommend this course to anyone looking to learn Azure.

The Data Science with Generative AI & Agentic AI Course at Cambridge Infotech is very well-designed. The instructors are knowledgeable and supportive. The course material is up-to-date, and the hands-on labs are extremely useful. This course has helped me a lot in advancing my cloud computing skills.

I am very satisfied with the Data Science with Generative AI & Agentic AI Course at Cambridge Infotech. The instructors are excellent and provide clear explanations. The practical sessions are very helpful in understanding the concepts better. It's a great course for anyone wanting to learn Azure.

Cambridge Infotech offers a brilliant Data Science with Generative AI & Agentic AI Course in Bangalore. The instructors are very experienced and make the learning process enjoyable. The course content is thorough, and the hands-on labs are extremely beneficial. I highly recommend this course for aspiring cloud professionals.

The Data Science with Generative AI & Agentic AI Course at Cambridge Infotech is exceptional. The instructors are very knowledgeable and provide excellent support. The course material is well-structured, and the practical labs are very helpful. This course has greatly enhanced my cloud computing knowledge.

I found the Data Science with Generative AI & Agentic AI Course at Cambridge Infotech to be very beneficial. The instructors are very skilled and provide clear guidance. The course covers all critical aspects of Azure, and the hands-on labs are very practical. I feel much more confident in my cloud computing skills now.

I highly recommend the Data Science with Generative AI & Agentic AI Course at Cambridge Infotech Bangalore. The curriculum is well-structured, covering all essential topics with clarity. The support staff were responsive, addressing any queries promptly. Overall, it's a fantastic opportunity to gain expertise in AWS cloud architecture.

Cambridge Infotech's Data Science with Generative AI & Agentic AI Course is top-notch. The instructors are very experienced and provide valuable insights. The course content is very relevant, and the practical labs are extremely useful. I highly recommend this course for anyone looking to enhance their Azure skills.

The Data Science with Generative AI & Agentic AI Course at Cambridge Infotech is excellent. The instructors are very knowledgeable and provide clear explanations. The hands-on labs are very practical and help in understanding real-world applications of Azure. This course has significantly improved my cloud computing skills.

I had a wonderful experience with the Data Science with Generative AI & Agentic AI Course at Cambridge Infotech. The instructors are very skilled and supportive. The course content is comprehensive and well-structured. The practical sessions are extremely helpful. I highly recommend this course to anyone wanting to learn Azure.

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Frequently Asked Questions

Got questions? We’ve got answers! Explore our FAQ section to find solutions to common queries. Dive in now!

What is Data Science with Generative AI and Agentic AI?

Data Science with Generative AI and Agentic AI is an advanced program that combines data analytics, machine learning, generative AI technologies, and autonomous AI agents to build intelligent, automated, and data-driven applications.

Who can join this course?

This course is suitable for freshers, IT professionals, data analysts, software developers, and career switchers who want to build a career in Data Science, Generative AI, and AI automation. No prior coding experience is required.

Do I need programming knowledge to join?

No. You don’t need any prior programming knowledge. The course starts from Python basics and gradually moves to advanced AI and Data Science concepts.

What tools and technologies will I learn?

You will learn Python, Machine Learning, Deep Learning, NLP, ChatGPT, LLMs, Prompt Engineering, Agentic AI frameworks, MLOps, cloud AI platforms, and real-world AI application development.

What are the career opportunities after this course?

After completing the program, you can work as a Data Scientist, Generative AI Engineer, AI Developer, Machine Learning Engineer, AI Automation Specialist, and Agentic AI Engineer.

Will I get hands-on project experience?

Yes. The course includes real-time projects such as AI chatbots, intelligent assistants, AI automation systems, analytics dashboards, and end-to-end AI application development.

Do you provide placement support?

Yes. We provide 100% placement assistance including resume building, mock interviews, portfolio development, and job referrals through our hiring partner network.

What is the course duration and mode of training?

The program is available in both classroom and online modes with flexible weekday and weekend batches. Duration varies from 3 to 6 months based on the learning track.

What is the average salary after completing this course?

Freshers can expect ₹6–10 LPA, while experienced professionals can earn ₹12–30 LPA depending on skills, projects, and interview performance.

Will I receive a certification?

Yes. You will receive an industry-recognized certification in Data Science with Generative AI and Agentic AI upon successful completion of the course and projects.

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A globally recognized certificate does just that, signaling to potential employers that you are equipped with essential skills for effective communication.

What You Get:

Microsoft-Aligned Certificate (Recognized by 200+ hiring partners)

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Data Science with Generative AI + Agentic AI Certification Course in Bangalore

What is Data Science, Generative AI & Agentic AI? – The Future of Intelligent Systems

Data Science

Generative AI

Agentic AI

Why Learn Data Science with Generative AI & Agentic AI in 2026? – The Ultimate Career Accelerator

The Unstoppable Rise of AI in Modern IT

Key Statistics That Prove AI’s Dominance

7 Compelling Reasons to Master This Course in 2026

1. The AI Revolution Demands Data + AI Skills

2. AI Automation is Reshaping Every Business

3. Data Science + AI is the Most Powerful Tech Combination

4. Agentic AI is the Future Workforce

5. Prompt Engineering is a Premium Skill

6. AI Safety & Responsible AI are Critical

7. Future-Proof Career Opportunities

Career Opportunities After This Certification

Top Career Paths After This Course

1. Data Scientist

2. Generative AI Engineer

3. AI Automation Engineer

4. Prompt Engineer

5. LLM Engineer

6. AI Solutions Architect

Essential Skills You Will Master in This Course

Core Data Science Skills

Generative AI & LLM Skills

Advanced AI Development Skills

Cloud & Deployment Skills

Industry Insight

Internship & Placement Support

Our Placement Support Includes:

Recent Placement Stats

Why Choose Cambridge Infotech?

7 Reasons We’re Bangalore’s Best AI Training Institute

Who Should Take This Course?

➔ IT Professionals

➔ Students & Freshers

➔ Working Professionals

Ready to Launch Your AI Career?

Limited-Time Offers for 2026 Enrollments!

Learn Microsoft Azure the Easy Way – Build a Strong Cloud Career

What You Will Learn in This Course

Why Learn Azure Cloud Computing in 2026?

Top Reasons to Learn Azure

Career Benefits

Who Should Take This Course?

Career Opportunities After This Course

Average Salary Range

Skills You Will Gain

Hands-on Training Approach

Placement Support & Career Assistance

Our Placement Support Includes:

Recent Placement Highlights

Why Choose Cambridge Infotech for Azure Training?

What Makes Us Different

Course Features

Ready to Start Your Cloud Journey?

Join Our Azure Cloud Computing Course in Bangalore and Build a Bright IT Future!

Data Science with Generative AI + Agentic AI Course Content

What you’ll learn

Data Science Foundations

Professional Data Analytics

Machine Learning Essentials

Generative AI Concepts

Agentic AI Development

AI-Powered Workflows

Advanced AI Techniques

Deep Learning Integration

AI Model Deployment

Career Boosting Skills

Real-World Projects

Certification Preparation

Client Workflows

Pricing & Contracts

Prerequisites

Testimonials: Hear From Our Happy Students