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Generative AI + Agentic AI Certification Course Info
Generative AI + Agentic AI Certification Course in Bangalore
Our Generative AI + Agentic AI Certification Course is designed for beginners, developers, and IT professionals who want to build next-generation AI applications and intelligent automation systems. This hands-on training program covers Large Language Models (LLMs), Prompt Engineering, RAG, LangChain, AI Agents, Fine-Tuning, and real-world AI project implementations.
You’ll gain expertise in Generative AI development, Agentic AI automation, LLM deployment, and AI-powered application building, while preparing for high-demand AI roles in the global market. With 100% practical labs, live projects, placement assistance, and mentorship from AI industry experts, this is Bangalore’s most job-oriented Generative AI training program.
Whether you are starting your AI journey or upskilling for Generative AI jobs, our flexible online/classroom batches (weekend/weekday) fit your schedule perfectly.
Enroll now to get a Free Demo Class + AI Project Kit!
What is Generative AI & Agentic AI? – The Future of Intelligent Automation
Generative AI is a cutting-edge branch of Artificial Intelligence that enables machines to generate human-like content such as text, images, code, and insights using Large Language Models (LLMs).
Agentic AI takes it one step further by creating autonomous AI systems that can plan, reason, take decisions, and execute tasks independently—just like a smart digital assistant.
Together, Generative AI and Agentic AI are transforming:
Business automation
Customer support
Software development
Data analysis
Content creation
Enterprise decision-making
This course helps you master both technologies to build real-world AI-powered applications.
Why Learn Generative AI & Agentic AI in 2026? – The Ultimate Career Accelerator
The Unstoppable Rise of AI in Modern IT
In today’s AI-driven world, Generative AI and Agentic AI have become the most revolutionary technologies across every industry. From ChatGPT to AI automation agents, companies are rapidly adopting AI solutions.
As we move into 2025, the demand for Generative AI skills is exploding across IT, healthcare, finance, education, and enterprise automation.
Key Statistics That Prove AI’s Dominance
91% of global enterprises are investing in Generative AI initiatives
AI-related job postings have grown by 74% year-over-year
Certified AI professionals earn 40% higher salaries than traditional IT roles
Over 70% of software companies are integrating LLM-based solutions
7 Compelling Reasons to Master Generative AI & Agentic AI in 2026
1. The AI Revolution Demands New-Age Skills
AI is becoming a core requirement in software development
Organizations need professionals who can build AI-driven applications
Generative AI is now a must-have skill for developers
Average Salary in India: ₹12–24 LPA
Global Average: $120,000+
2. AI Automation is Reshaping Businesses
Companies are replacing manual workflows with AI agents
Chatbots, copilots, and AI assistants are becoming mainstream
Automation using AI reduces operational costs by up to 60%
3. Multi-Cloud AI Requires AI Engineers
Enterprises use AWS, Azure, and GCP for AI workloads
Generative AI applications need cloud-native deployment
AI + Cloud + Automation is the most powerful career combo
4. AI Agents are the Future Workforce
Agentic AI enables:
Autonomous decision-making
Self-executing workflows
Smart assistants for enterprises
AI-powered DevOps automation
5. Demand for Prompt Engineering Experts
Writing effective AI prompts is now a premium skill
Organizations hire specialists just for AI optimization
Prompt Engineers are among the highest-paid AI professionals
6. AI Safety and Responsible AI are Critical
AI governance is becoming mandatory
Companies need experts in AI guardrails
Ethical AI implementation is a high-priority role
7. Future-Proof Career Opportunities
Top roles after this course:
Generative AI Engineer
AI Developer
Prompt Engineer
AI Automation Engineer
LLM Engineer
AI Solutions Architect
Career Opportunities After Generative AI Certification
The AI revolution has created unprecedented career opportunities for certified professionals. With almost every industry adopting AI, this certification opens doors to high-paying future-ready roles.
Top Career Paths After This Course
1. Generative AI Engineer
Responsibilities:
Build AI-powered applications
Work with LLMs and AI frameworks
Develop intelligent chatbots and copilots
Hiring Companies:
Google, Microsoft, TCS, Infosys, Accenture, AI startups
2. AI Automation Engineer
Responsibilities:
Build Agentic AI systems
Automate workflows using LLMs
Integrate AI with enterprise tools
Market Demand:
One of the fastest-growing AI roles worldwide
3. Prompt Engineer
Responsibilities:
Design advanced AI prompts
Optimize AI outputs
Reduce hallucinations
Improve AI performance
4. AI Application Developer
Responsibilities:
Build RAG-based AI systems
Develop AI-powered SaaS products
Deploy AI models in production
5. LLM Engineer
Responsibilities:
Fine-tune AI models
Work with open-source LLMs
Build domain-specific AI assistants
6. AI Solutions Architect
Responsibilities:
Design enterprise AI strategies
Lead AI transformation projects
Build scalable AI architectures
Essential Skills You Will Master in This Course
The Must-Have AI Skillset for 2025 Job Market
Mastering Generative AI requires more than theory. Our course focuses on complete practical expertise demanded by top employers.
Core Generative AI Skills (100% Essential)
Large Language Models (LLMs)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
LangChain Framework
AI Agents Development
Multi-Modal AI Systems
Advanced AI Development Skills
Fine-tuning LLMs
LoRA / QLoRA / PEFT
Custom AI Applications
AI Model Evaluation
Guardrails & AI Safety
Hallucination Reduction
Cloud & DevOps for AI
Deploying AI on AWS/Azure
FastAPI / Flask
Docker & Containers
MLOps for Generative AI
Monitoring AI Applications
Industry Insight
89% of employers seek AI professionals with hands-on project experience
Certified Generative AI experts get 3x more interview calls
Practical AI skills = Higher salary packages
Internship & Placement Support for AI Certification Graduates
At Cambridge Infotech, we don’t just train you in AI – we build your career.
Our Placement Support Includes:
Guaranteed Internship on live AI projects
Dedicated Placement Cell with 300+ hiring partners
Resume & LinkedIn Optimization
Mock Interviews with AI experts
Exclusive AI Job Portal Access
Recent Placement Stats:
92% placement rate within 3 months
Average salary: ₹10–18 LPA
Top recruiters: Accenture, IBM, AI startups, product companies
Why Choose Cambridge Infotech for Generative AI Training?
7 Reasons We’re Bangalore’s Best AI Training Institute
Industry-Aligned AI Curriculum
Expert AI Trainers (10+ years experience)
100% Hands-on Practical Training
Real-Time AI Projects
Placement-Focused Program
Flexible Online & Classroom Batches
Trusted by 10,000+ Students
Who Should Take This Course?
This program is perfect for:
→ 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 Generative AI & Agentic AI Expert!
Our Generative AI + Agentic AI Course Course offers a comprehensive curriculum to take your Excel skills to the next level. Through hands-on exercises, real-world projects, and practical examples, you will develop the expertise needed to tackle complex data analysis tasks and solve real-world business challenges using Excel.
Generative AI + Agentic AI Course Content
1. Machine Learning Fundamentals (4 Hours)
What is Machine Learning? (Supervised vs Unsupervised vs Self-Supervised)
Overfitting vs Underfitting
Bias–Variance Tradeoff
Evaluation Metrics
Why ML concepts matter for LLMs
2. Deep Learning Essentials (4 Hours)
Why Deep Learning over Traditional ML
Neural Networks – High-level intuition
Why Transformers replaced RNNs/CNNs in NLP
3. NLP Fundamentals (Pre-LLM Era) (4 Hours)
What is Natural Language Processing?
Text Preprocessing
Bag of Words, TF-IDF (limitations)
Word Embeddings (Word2Vec, GloVe – intuition)
Sequence Modeling
Limitations of traditional NLP → Why LLMs emerged
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
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
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
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 Core Concepts
Chains & Prompt Templates
Tools & Function Calling
Memory Types
Agents & Architectures
ReAct & Planning Agents
Multi-step Execution
Error Handling
Observability & Debugging
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
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 Lifecycle for GenAI
Experiment Tracking
Data Versioning
CI/CD Pipelines
Drift Detection
Cost Optimization
Security
MLOps Tools
Model Serving Strategies
REST & Streaming APIs
Docker & Containers
Flask / FastAPI APIs
Scaling & Load Balancing
Latency Optimization
Caching
Cost Control
Monitoring & Incident Management
Generative AI + Agentic AI Course in Bangalore
Introduction to Generative AI & LLMs
Foundations of AI, Large Language Models, Transformers, and real-world AI applicationsProfessional AI Development Skills
Building AI-powered applications | Prompt engineering | Chatbot development | AI assistantsLLM Essentials
Understanding GPT, LLaMA, Gemini | Tokenization | Context windows | AI model capabilitiesAI-Powered Workflows
Prompt chaining | Chain-of-Thought reasoning | ReAct prompting | Structured AI outputsRetrieval-Augmented Generation (RAG)
Document processing | Vector databases | Embeddings | Knowledge-based AI systemsAgentic AI Development
Building autonomous AI agents | LangChain | Function calling | Multi-step automationAdvanced Techniques
Fine-tuning LLMs | LoRA/QLoRA | Model optimization | AI evaluation methodsMulti-Modal AI Systems
Text + Image AI | Vision-language models | Multi-modal RAG applicationsCareer Boosting Skills
AI project portfolio building | Industry best practices | Real-time AI problem solvingReal-World Projects
Custom AI chatbot | Enterprise RAG system | AI automation agent | Multi-modal AI appCertification Preparation
Industry-recognized Generative AI + Agentic AI certification readinessClient Work Flows
Enterprise AI implementation | Requirement gathering | AI solution designDeployment & MLOps
FastAPI integration | Docker deployment | Monitoring AI applicationsPricing and Contract
AI project estimation | Client proposals | AI consulting workflows
Prerequisites
Basic Programming & Computer Skills
- Basic computer literacy (file management, internet browsing, software installation)
- Basic understanding of Python programming concepts
- Familiarity with using online tools and applications
- Logical and analytical thinking (helpful for AI problem solving)
Learning Mindset
- Minimum 6–8 hours/week practice needed for best results
- 30 Minutes Daily beats 5 Hours Weekly for AI skill retention
- Curiosity to explore AI tools, automation, and problem-solving
Basic AI & Technical Knowledge (Recommended but Not Mandatory)
- Basic understanding of programming concepts
- Awareness of Machine Learning and AI fundamentals is helpful
- No prior experience in Generative AI or Agentic AI required
No Advanced AI Experience Needed
- 90% of our successful students started with ZERO experience in Generative AI
- We help you master the essential AI fundamentals before moving into advanced concepts like LLMs, RAG, LangChain, and AI Agents
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
Frequently Asked Questions
Got questions? We’ve got answers! Explore our FAQ section to find solutions to common queries. Dive in now!
The Generative AI + Agentic AI Course is a comprehensive training program that teaches you how to build AI-powered applications using Large Language Models (LLMs), Prompt Engineering, RAG, LangChain, and autonomous AI agents. The course focuses on hands-on learning with real-world projects.
This course is ideal for software developers, data analysts, IT professionals, students, freshers, and anyone interested in building AI applications. Basic knowledge of Python and AI concepts is recommended but not mandatory.
The basic prerequisites include:
- Python programming
- Machine Learning fundamentals
- Deep Learning basics
- NLP fundamentals
Even if you are new, foundational concepts are covered in the course.
Yes. This is a 100% practical-oriented course with live coding sessions, real-time projects, case studies, and industry-level assignments to ensure job-ready skills.
You will learn:
- Large Language Models (GPT, LLaMA, Gemini)
- Prompt Engineering
- LangChain
- Vector Databases
- RAG Systems
- FastAPI, Docker
- AI Agents and Automation Tools
Yes. We offer dedicated placement support including resume building, mock interviews, career guidance, and job referrals to help you start your career in Generative AI and Agentic AI.
Yes. You will receive an industry-recognized Generative AI + Agentic AI Certification upon successful completion of training and projects.
You will work on real-world projects such as:
- AI Chatbot Development
- Enterprise RAG System
- Multi-Modal AI Application
- AI Automation Agent
- Knowledge-based AI Assistant
After completing this course, you can apply for roles like:
- Generative AI Engineer
- AI Developer
- Prompt Engineer
- LLM Engineer
- AI Automation Specialist
- AI Solutions Architect
Yes. We provide flexible learning modes including:
- Online live training
- Classroom training in Bangalore
- Weekend and weekday batches
You can choose the schedule that best fits your needs.
- Course level :
- Course Duration: :
- Enrolled:
- Last Updated:
- All Levels
- 50h
- 4550
- April 30, 2024
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Course Completion Certificate
TCS, Infosys & Deloitte – Listed as preferred skill in their job descriptions
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Advanced PivotTables & Dashboards
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