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Agentic AI Course in Bengaluru

Join top Agentic AI courses in Bengaluru to build autonomous AI agents. Learn LangChain, vector databases, and real-world agent deployment from industry experts.

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Agentic AI Course in Bengaluru

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  1. Generative AI Course: Bengaluru Edition Empowering the Next Generation of AI Innovators Presented By: Boston Institute of Analytics Date: 11-8-2025 Venue: MG Road, Bengaluru, India - The Silicon Valley of Asia

  2. Chapter 1 Introduction to Generative AI 1 What is Generative AI? AI that creates new, original content (text, images, audio, code), moving beyond mere classification to true creation. 2 Why is it Trending Now? Fueled by advancements in deep learning, massive datasets, and unprecedented computational power.

  3. Chapter 2 Evolution & Key Concepts From Rule-based to Deep Learning Witness the rapid progression in AI capabilities, leading to the emergence of Generative AI. Core Terms Models: Generator, Discriminator (GANs), Encoder, Decoder (VAEs/Transformers). Techniques: Prompt Engineering, Fine-tuning.

  4. Chapter 3 Major Generative AI Model Architectures GANs VAEs Transformers Two neural networks compete to create realistic data, excellent for image synthesis. Learn probabilistic data representations for generation and anomaly detection. Utilize "attention mechanisms" for context understanding and coherent sequence generation, foundational for LLMs.

  5. Chapter 4 LLMs & Diffusion Models Large Language Models (LLMs) Diffusion Models Massive Transformer-based models trained on vast text data for generation, summarization, and Q&A. Generate data by gradually reversing a noise process, known for incredibly high-quality images. Examples: Google's Gemini, OpenAI's GPT series. Examples: Stable Diffusion, Midjourney, DALL-E 2.

  6. Chapter 5 Practical Applications Content Creation Code Generation Drug Discovery Automated articles, marketing copy, design assets. Assisting developers, auto- completing code. Accelerating research by generating novel molecules. Gaming & Entertainment Customer Service Creating dynamic characters and narratives. Advanced, conversational AI chatbots.

  7. Chapter 6 GenAI in Bengaluru's Ecosystem A Thriving Hub Bengaluru is a significant center for AI innovation in India. Key Players Startups: Reckonsys, Krazimo, NINEBIT, Sarvam AI. MNCs: Infosys, IBM, SAP Labs India with strong AI R&D. Focus Areas Fintech, Healthcare, EdTech, Advanced Manufacturing.

  8. Chapter 7 Development Tools & Platforms Frameworks Libraries TensorFlow, PyTorch (core for building models). Hugging Face Transformers, Diffusers (for pre-trained models). Cloud AI Platforms Local Initiatives Google Cloud AI (Vertex AI, Gemini API), AWS AI/ML, Microsoft Azure AI. Skill India Digital Hub offering GenAI courses.

  9. Chapter 8 Ethical Considerations & Responsible AI Key Challenges Bias & Fairness in generated content. Misinformation and "deepfakes." Copyright and intellectual property. Potential for job displacement. Importance of Responsible AI Developing AI with principles of fairness, accountability, and transparency is crucial.

  10. Chapter 9 Future Trends & Career Opportunities Multimodal AI Agentic AI Seamless content generation across text, image, audio, and video. AI systems capable of complex planning and autonomous action. Hyper-Personalization Human-AI Collaboration Tailoring AI outputs to individual user preferences. Augmenting human creativity and productivity. Join the AI Revolution in Bengaluru! Explore further learning resources and engage with the local AI community.

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