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Applied Gen AI Course Overview
This Applied Generative AI course will equip you with the skills to deploy generative AI techniques in real-world scenarios. You will gain a comprehensive understanding of applied generative AI, by mastering concepts like Agentic frameworks, LLMs, prompt engineering and more. Learn advanced topics such as fine-tuning, MCP, and real-life AI applications.
Key Features
- Program completion certificate from IITM Pravartak Technologies Foundation
- 70+ hours of core curriculum delivered in live online classes by industry experts
- Live online masterclasses by faculty and/or alumni from premier institutes such as IITM and other IITs
- Hands-on learning through 60+ exercises and 7 industry-relevant projects, with seamless access to integrated labs
- Develop generative AI-enabled applications through hands-on projects
- Exposure to Copilot, Azure AI Studio, ChatGPT, OpenAI, Dall-E 2, Hugging Face & other prominent tools
- Opportunity to attend a 2-day campus immersion at IIT Madras Research Park
- Obtain official certificates for all Microsoft courses completed on the Microsoft Learn portal
- Opportunity to get your startup incubated by IITM Pravartak Technologies Foundation
- Simplilearn’s JobAssist helps you get noticed by top hiring companies
- Build an end-to-end RAG-based application through hands-on projects
Curriculum
- 9 Sections
- 0 Lessons
- 6 Hours
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- Program Induction0
- IITM AG: Python Refresher with AI (Optional)Procedural and OOP understanding Python and IDE installation Jupyter Notebook usage mastery Implementing identifiers, indentations, comments Python data types, operators, string identification Types of Python loops comprehension Setting Up GitHub Copilot and AI Code Tools Writing Effective AI Prompts Reviewing & Refining AI-Generated Code AI for Code Optimization & Automation Debugging AI-Suggested Code0
- IITM AG: AI LiteracyCutting-edge knowledge: Learn generative AI, prompt engineering, and ChatGPT Hands-on skills: Acquire a real-world understanding of various business applications Effective gen AI utilization: Master the art of applying these technologies efficiently Master prompt engineering: Grasp its significance in producing tailored outputs0
- IITM AG: Advanced Generative AI: Models and ArchitectureIntroduction to Generative Models Large Language Models Architecture Variational Autoencoders (VAEs) Generative Adversarial Networks (GANs) Attention Mechanisms and Transformers0
- IITM AG: Advanced Generative AI: Building LLM ApplicationsLangchain and Workflow Design Advanced Prompt Engineering Techniques LLM Application Development LLM Fine-Tuning and Customization Benchmarking and Evaluation of LLM Capabilities LangChain for LLM Development RAG with LangChain0
- IITM AG: Advanced Generative AI: Agentic frameworks with Model Context & Tooling ProtocolsIntroduction to Agentic AI and Key Characteristics LLM Agent Architecture: Perception, Cognitive Engine, and Action Modules LangGraph: Nodes, Routing, Orchestration, and Optimization AutoGen: Multi-Agent Systems, Customization, and Collaboration CrewAI: Agent Teams, Tools, Tasks, and Process Implementation MCP Protocol: Standardized Integration, Messaging, and SDKs Future Outlook: Enterprise Adoption, Governance, and Security0
- IITM AG: Advanced Generative AI: Image Generation CapabilitiesStable Diffusion Denoising Autoencoders in Generative AI Contrastive Learning Techniques Shared Embedding Spaces0
- IITM AG: Generative AI GovernanceImportance of Governance in AI Governance Challenges in Generative AI Ethical Principles in AI Governance Structures and Committees Risk Management in AI Projects Integrating Governance into the AI Project Lifecycle Evolving Regulatory Landscape Future Trends in AI Governance0
- IITM AG: Capstone ProjectAt the end of this Applied Generative AI Program, bring your newly acquired skills together with a hands-on, industry-relevant capstone project that compiles every course into one portfolio-worthy capstone.0