Generative AI & Agentic AI
Master Next-Generation AI Technologies & Intelligent Agents
Course Overview
🎯 Course Objective
Master cutting-edge Generative AI and Agentic AI technologies to build intelligent systems that can create, reason, and act autonomously. Learn to develop AI agents, LLM applications, and generative models that solve complex real-world problems.
⏱️ Duration & Schedule
12-week comprehensive program with 4 sessions per week. Each session is 2 hours long with hands-on coding practice and real-world Generative AI projects.
💼 Career Prospects
Prepare for roles like AI Engineer, Generative AI Developer, AI Agent Developer, LLM Engineer, AI Research Scientist, and AI Product Manager. Includes interview preparation and placement assistance.
🏆 Certification
Receive industry-recognized certification upon successful completion with portfolio of Generative AI projects and practical assessments.
Meet Your Instructor
Trilochan Tarai
Generative AI & Agentic AI Expert
With over 20 years of experience in artificial intelligence and cutting-edge AI technologies, Trilochan has worked with leading tech companies like TCS and Majesco. He specializes in Large Language Models, Generative AI, AI Agents, LangChain, and advanced AI applications, and has mentored over 40000+ students in their AI journey.
Course Curriculum
Module 1: Introduction & Foundational Concepts
Duration: Week 1 | Topics: 4 sessions
- Fundamentals of AI and Machine Learning
- Introduction to Neural Networks
- Overview of Generative AI: Principles & History
- Industry Impact and Ethical Considerations
Module 2: Technical Foundations
Duration: Week 2 | Topics: 4 sessions
- Python Programming Basics
- Data structures, functions, modules
- Pandas & Numpy for data manipulation
- Linux Environment Setup
- Introduction to Data Science Workflows
Module 3: Core Machine Learning & Deep Learning
Duration: Week 3 | Topics: 4 sessions
- Supervised & Unsupervised Learning
- Neural Networks and Deep Learning concepts
- Hands-on with TensorFlow & Keras
- Building & Evaluating Models
Module 4: Generative AI Fundamentals
Duration: Week 4 | Topics: 4 sessions
- What is Generative AI? (Text, Image, Audio Generation)
- Introduction to Large Language Models (LLMs) – GPT, BERT, T5
- Transformers: Architectures and Self-Attention Mechanisms
- Embeddings for Semantic Search
Module 5: Hands-on Generative AI Projects
Duration: Week 5 | Topics: 4 sessions
- Simple text generation with LLMs (e.g., ChatGPT)
- Image generation basics (GANs, VAEs)
- Audio and Speech: Text-to-Speech, Speech-to-Text
- Practical chatbot and assistant development
Module 6: Prompt Engineering & Prompt Tuning
Duration: Week 6 | Topics: 4 sessions
- Prompt design and refinement for LLMs
- Chain-of-Thought and reasoning-based prompting
- Troubleshooting prompt effectiveness
Module 7: Advanced Generative AI Models
Duration: Week 7 | Topics: 4 sessions
- Sequence-to-Sequence Models (Seq2Seq): Encoders, Decoders
- Advanced NLP: Fine-tuning and Transfer Learning
- GANs and VAEs: Deep Generative Networks
- Real-world applications in translation, summarization, creative writing, design
Module 8: Custom Model Training & Fine-tuning
Duration: Week 8 | Topics: 4 sessions
- Data curation and preprocessing
- Fine-tuning LLMs (e.g., GPT, Llama-2) for domain tasks
- Model evaluation: Metrics and benchmarking
Module 9: MLOps & Deployment
Duration: Week 9 | Topics: 4 sessions
- Deploying generative AI solutions (Flask, Docker)
- Integrating with CI/CD pipelines
- Version control, monitoring, and scaling models
Module 10: Industry Case Studies & Sectoral Applications
Duration: Week 10 | Topics: 4 sessions
- Generative AI in software development, marketing, content creation, customer service
- Responsible AI: Risk, Compliance, Hallucination management, Bias mitigation
- Business workflows and automation with GenAI
Module 11: Capstone Projects & Portfolio Building
Duration: Week 11 | Topics: 4 sessions
- End-to-end generative AI project (select domain: chatbot, content generator, code assistant, creative tool)
- Peer review, presentation, and industry feedback
Module 12: Emerging Trends & Future Directions
Duration: Week 12 | Topics: 4 sessions
- Retrieval Augmented Generation (RAG), Agents, Tool use
- Physical AI and Robotics
- Latest research & frontier advancements
Why Choose This Course?
Video Lectures & Live Sessions
Comprehensive video lectures, live interactive sessions, and recorded masterclasses for flexible learning
Industry Mentors & Guest Lectures
Learn from industry experts and guest lecturers who are actively working in Generative AI and AI applications
Assignment-Based Evaluation
Hands-on labs and assignment-based evaluation to ensure practical understanding and skill development
Certification of Completion
Receive certification upon successful project presentation and completion of all course requirements
Hands-on Projects
Build real-world Generative AI projects including chatbots, content generators, code assistants, and creative tools
Industry-Focused Curriculum
Learn cutting-edge Generative AI technologies and applications that are in high demand across various industries
Ready to Master Generative AI & Agentic AI?
Join hundreds of successful AI professionals who advanced their careers with cutting-edge Generative AI and Agentic AI skills