Generative AI Training in Bangalore | Gen AI Course – IBC Techno
Looking for a Generative AI Training Course in Bangalore that helps you build practical, job-ready AI skills? IBC Techno Consultancy offers industry-focused Gen AI Training in Bangalore designed for students, working professionals, developers, testers, data professionals, business users, and aspiring AI specialists.
Our Generative AI Course covers the fundamentals of artificial intelligence and modern generative AI technologies, including Generative AI, ChatGPT, prompt engineering, AI-powered tools, large language models, AI content generation, AI coding assistants, AI image generation, AI automation, RAG concepts, AI applications, and real-world projects.
The course emphasizes practical learning rather than only theoretical concepts. You will learn how to use modern AI tools effectively, create high-quality prompts, integrate AI into professional workflows, and develop practical solutions using Generative AI.
What Is Generative AI?
Generative AI is a branch of artificial intelligence that can create new content based on user instructions and learned patterns. It can generate text, code, images, documents, summaries, ideas, analysis, and other forms of digital content.
Popular Generative AI applications include ChatGPT and other large language model-based tools used for software development, content creation, data analysis, customer support, research, marketing, education, automation, and business operations.
A Generative AI course helps learners understand how these technologies work and, more importantly, how to use them effectively in real-world situations.
At IBC Techno Consultancy, our Gen AI Training in Bangalore focuses on practical applications so that learners can understand both the concepts and workplace use cases of Generative AI.
Why Learn Generative AI?
Generative AI is becoming an important technology across software development, data, marketing, finance, education, customer service, healthcare, e-commerce, and other industries.
Learning Generative AI can help professionals:
- Improve productivity using AI-powered tools
- Automate repetitive tasks
- Generate and optimize content
- Assist with software development
- Analyze information faster
- Create professional documents
- Generate images and creative assets
- Build AI-powered applications
- Work with large language models
- Develop AI-assisted business solutions
- Improve research and problem-solving workflows
- Prepare for emerging AI-related career opportunities
The objective of our Generative AI Training Course in Bangalore is to help learners move from simply using AI tools to understanding how to apply them strategically and responsibly.
Generative AI Training in Bangalore Course Highlights
Our Generative AI Course in Bangalore includes:
- Industry-oriented Generative AI curriculum
- Hands-on practical training
- Prompt engineering
- ChatGPT and modern AI tools
- Generative AI fundamentals
- Large Language Model concepts
- AI-powered coding tools
- AI content generation
- AI image generation
- AI for data analysis
- AI automation concepts
- Retrieval-Augmented Generation concepts
- Real-world AI use cases
- Practical assignments
- Project-based learning
- Interview preparation
- Career guidance
- Placement support
Generative AI Course Syllabus
Module 1: Introduction to Artificial Intelligence
Understand the foundation of Artificial Intelligence and how AI has evolved into modern Generative AI.
Topics Covered
- What is Artificial Intelligence?
- AI vs Machine Learning
- Machine Learning vs Deep Learning
- What is Generative AI?
- Generative AI vs Traditional AI
- AI applications across industries
- Generative AI use cases
- AI models and AI tools
- Introduction to Large Language Models
- Future of Generative AI
Module 2: Generative AI Fundamentals
Build a strong understanding of the technologies behind modern generative AI systems.
Topics Covered
- Generative AI concepts
- Large Language Models
- Natural Language Processing fundamentals
- Foundation models
- Tokens and context
- Training and inference concepts
- AI model capabilities and limitations
- Model hallucinations
- AI response evaluation
- Responsible AI
- AI ethics and security basics
Module 3: ChatGPT Training
Learn how to use ChatGPT effectively for professional and business applications.
Topics Covered
- Introduction to ChatGPT
- Understanding AI conversations
- Effective instructions
- Creating structured prompts
- Text generation
- Summarization
- Content creation
- Research assistance
- Brainstorming
- Document analysis
- Business use cases
- Productivity workflows
- AI-assisted problem solving
Module 4: Prompt Engineering
Prompt Engineering is one of the most important skills covered in our Gen AI course.
You will learn how to design clear and effective prompts to obtain more useful and reliable AI responses.
Topics Covered
- What is prompt engineering?
- Prompt structure
- Zero-shot prompting
- Few-shot prompting
- Role-based prompting
- Context-based prompting
- Instruction prompting
- Chain-of-thought concepts
- Structured output prompting
- Prompt refinement
- Prompt evaluation
- Prompt templates
- Business prompts
- Coding prompts
- Marketing prompts
- Data analysis prompts
Practical Prompt Engineering Examples
Learners will practice creating prompts for:
- Software development
- Testing
- Content writing
- SEO
- Digital marketing
- Data analysis
- Business reports
- Customer support
- Research
- Education
- Resume preparation
- Productivity
Module 5: AI Tools for Professionals
Learn how modern AI tools can be incorporated into everyday professional workflows.
Topics Covered
- AI productivity tools
- AI writing tools
- AI research tools
- AI coding assistants
- AI presentation tools
- AI design tools
- AI image-generation tools
- AI automation tools
- AI data-analysis tools
- AI document-processing tools
The objective is to help learners select the appropriate AI tool for a particular business or technical task.
Module 6: Generative AI for Software Development
Learn how AI can support developers throughout the software development lifecycle.
Topics Covered
- AI-assisted coding
- Code generation
- Code explanation
- Code optimization
- Debugging with AI
- Test-case generation
- Documentation generation
- SQL generation
- API development assistance
- Code review assistance
- AI coding assistants
- Software development productivity
- Best practices for AI-assisted programming
Module 7: Generative AI for Data Analysis
Learn how Generative AI can assist with data-related tasks.
Topics Covered
- Understanding data with AI
- Data cleaning assistance
- SQL generation
- Data summarization
- Data interpretation
- Spreadsheet assistance
- Report generation
- Data visualization assistance
- Business insights
- AI-assisted analytics
- Prompting for data analysis
Module 8: AI for Content Creation
Learn how Generative AI can support professional content creation.
Topics Covered
- Blog content
- Social media content
- Marketing copy
- Email writing
- Product descriptions
- Website content
- Video scripts
- Ad copy
- Content ideas
- Content optimization
- Content repurposing
- AI-assisted SEO content
Module 9: AI Image Generation
Understand how Generative AI can be used to create visual content.
Topics Covered
- Introduction to AI image generation
- Image prompting
- Text-to-image concepts
- Creative prompting
- Marketing creatives
- Social media graphics
- Product visuals
- Brand concepts
- Image editing concepts
- AI-generated visual workflows
Module 10: Generative AI and RAG
Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how AI applications can use external knowledge sources.
Topics Covered
- What is RAG?
- Why RAG is required
- LLM limitations
- Knowledge retrieval
- Documents and knowledge bases
- Embeddings fundamentals
- Vector databases concepts
- Retrieval concepts
- Context augmentation
- RAG workflow
- Business use cases
- Introduction to RAG application development
Module 11: AI Agents and Automation
Understand the fundamentals of AI-powered automation and agent-based workflows.
Topics Covered
- What are AI agents?
- AI agents vs chatbots
- Agent workflows
- Tool usage
- Task automation
- Workflow automation
- Multi-step AI tasks
- AI assistants
- Business automation use cases
- Agentic AI fundamentals
Module 12: Generative AI Projects
Practical projects help learners understand how Generative AI can be applied to real-world problems.
Project Ideas
Project 1: AI Content Assistant
Build a workflow that helps generate and organize professional content.
Project 2: AI Resume Assistant
Create an AI-powered workflow for resume improvement and job-description analysis.
Project 3: AI Customer Support Assistant
Develop a conceptual AI assistant for answering customer questions.
Project 4: Document Q&A Assistant
Create a document-based question-answering workflow using RAG concepts.
Project 5: AI Data Analysis Assistant
Use AI to assist with data interpretation, SQL generation, and reporting.
Project 6: AI Coding Assistant
Create an AI-assisted development workflow for code generation, debugging, and documentation.
Why Choose IBC Techno Consultancy for Generative AI Training?
Industry-Oriented Curriculum
Our curriculum is designed around practical Generative AI applications and current workplace requirements.
Hands-On Learning
Learners get opportunities to practice AI tools, prompting techniques, workflows, and project-based exercises.
Practical Projects
Real-world project scenarios help learners understand how AI can be applied beyond theoretical concepts.
Expert Trainers
Learn from trainers with practical technology and industry experience.
Career-Oriented Training
The course focuses on developing skills that can be applied to modern technology and business roles.
Interview Preparation
Learners can receive guidance on AI-related interview questions, practical scenarios, and project discussions.
Placement Support
IBC Techno Consultancy provides career and placement support to eligible learners as part of its training ecosystem.
Generative AI Course for Working Professionals
Working professionals can learn how to incorporate AI into existing workflows without completely changing their current career path.
For example:
- Developers can use AI for coding and debugging.
- Testers can use AI for test-case generation.
- Analysts can use AI for data interpretation.
- Marketers can use AI for content and research.
- HR professionals can use AI for recruitment workflows.
- Managers can use AI for reports and productivity.
- Business teams can use AI for automation and customer support.
Generative AI is not limited to one profession. Its applications are expanding across multiple industries.
Career Opportunities After Generative AI Training
Generative AI skills can complement several technology and business roles.
Depending on your existing qualifications and experience, potential career directions include:
- Generative AI Specialist
- AI Consultant
- AI Automation Specialist
- Prompt Engineer
- AI Application Developer
- AI/ML Engineer
- AI Solutions Developer
- Conversational AI Developer
- AI Product Specialist
- AI Business Analyst
- AI Content Specialist
- AI Data Analyst
- Machine Learning Engineer
- Software Developer with AI Skills
Generative AI Training Course – Frequently Asked Questions
Generative AI training teaches learners how Generative AI systems work and how to use AI tools to create content, generate code, analyze information, automate workflows, and develop AI-powered solutions.
Generative AI fundamentals can be learned by beginners. Advanced topics such as RAG, AI application development, APIs, vector databases, and AI agents may require additional programming and technical knowledge.
Coding is not mandatory for learning basic Generative AI and prompt engineering. However, programming knowledge is useful for learners who want to build advanced AI applications and integrations.
You can learn Generative AI fundamentals, ChatGPT, prompt engineering, AI tools, large language models, AI-assisted coding, AI content generation, AI image generation, data analysis, RAG concepts, AI automation, and practical projects.
Yes. ChatGPT concepts and practical use cases can be included as part of Generative AI training, along with prompting techniques and professional AI workflows.
Prompt engineering is the practice of designing and refining instructions given to AI models to obtain useful, relevant, structured, and reliable outputs.
Students, developers, testers, data professionals, digital marketers, business professionals, entrepreneurs, and working professionals can learn Generative AI.
Yes. Beginners can start with Generative AI fundamentals, AI tools, and prompt engineering before progressing toward advanced concepts.
Generative AI skills can complement careers in software development, data, testing, automation, digital marketing, business analysis, AI application development, and AI consulting.