- Duration / Course length: 40 Hours
- Timings: Enquire
Course details
Overview:The Certification in Applied Generative AI and Agentic Systems is a 40‑hour, hands‑on training designed for professionals eager to master generative ai and Agentic Systems. Guided by industry experts, you’ll work with tools like LLMs, GANs, diffusion models, LangChain, OpenAI, Hugging Face, and Stable Diffusion.
This course blends practical projects—like chatbots, AI art, autonomous agents, and smart content tools—with ethical deployment and model deployment on cloud and edge environments. Participants earn a recognized career certification and lifetime access to program resource.
Importance of the Training Program
- Empowers professionals to lead in the rapidly evolving world of gen ai and Agentic Systems.
- Offers immersive, project-based learning—no passive lectures, only real creation.
- Keeps pace with the latest in generative ai and AI agents to meet industry demand.
- Hands-on mastery of LLMs, GANs, diffusion models, and autonomous agents.
- Build real-world projects: chatbots, AI art, smart assistants, and more.
- Learn using top-tier tools: OpenAI API, Stable Diffusion, LangChain, and Hugging Face.
- Gain skills in LLM fine-tuning, reinforcement learning, and responsible AI practices.
- Deploy models effectively on cloud and edge platforms.
- Earn a career-recognized certificate and enjoy lifetime course access.
- AI/ML Foundations Refresher
- Deep Learning Overview
- Convolutional Neural Networks (CNNs) & Recurrent Neural Networks (RNNs)
- Transformers & Attention Mechanism
- Autoencoders & Variational Autoencoders (VAEs)
- Evaluation Metrics for Generative Models
- Core Generative AI Topics
- Generative Adversarial Networks (GANs)
- GAN Architecture
- Advanced GAN Architectures
- Hands-on Project
- Diffusion Process
- Popular Diffusion Models
- Hands-on Project
- Large Language Models (LLMs) & Transformers
- NLP Techniques
- LangChain and RAG Architecture
- Hands-on Project
- Multimodal AI – s
- Vision-Language Models
- Applications in Content Creation
- Text-to-Image, Text-to-Video, and Text-to-Audio generation (, OpenAI Sora, DALL·E 2)
- Benefits and challenges of multimodal AI
- Hands-on Project
- Hands-on Projects & Advanced Concepts
- Fine-tuning an LLM on Domain-Specific Data
- Building Autonomous Chatbots with Retrieval-Augmented Generation (RAG)
- AI-Generated Media Projects
- Agentic AI: Autonomous Decision-Making
- Introduction to Agentic AI & Autonomous Systems
- Reinforcement Learning for Autonomous Decision-Making
- Multi-Agent Systems & Collaboration
- LangChain for Autonomous Agents
- Responsible AI & Deployment Best Practices
- Ethical AI
- Deployment Techniques
- Deep expertise: training led by AI industry professionals with over a decade of experience.
- State-of-the-art resources: access to cutting-edge tools and real-world case studies.
- Ongoing support: lifetime access, career guidance, and flexible payment plans.
- Proven credibility: highly rated and trusted by thousands of learners
Faheema Sheikh, AI Engineer
“This certification truly bridges the gap between theory and real-world AI application. The hands-on projects with LangChain and Stable Diffusion gave me the confidence to build intelligent systems from scratch. The trainers’ expertise and industry insights were to the ;
Abrar Akram, Software Developer
"I was initially skeptical, but this course exceeded expectations. The deep dive into LLMs, prompt engineering, and multi-agent orchestration helped me modernize my workflows. It's a must-do for developers looking to stay ahead in ; Updated on 23 July, 2025
Eligibility / Requirements
There are no specific prerequisties required to enrol for the training program.
Job roles this course is suitable for:
Generative AI Engineer , AI Solutions Developer , LLM Specialist , Prompt Engineer , AI Research AssociateAbout Learners Point Training Institute
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Therefore, we offer a variety of delivery methods:
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