Advanced Gen AI and Agentic AI
Master the cutting-edge technologies behind AI agents, Large Language Models, and Retrieval-Augmented Generation. Build autonomous systems that can reason, plan, and execute complex tasks in this comprehensive 4-month program.
AI Agents
LLMs & RAG
Hands-on Projects
Course Overview
Everything you need to know about this comprehensive AI course
Duration
4 Months
Students
89+ Enrolled
Rating
5/5 (89 reviews)
Language
English
Skill Level
Intermediate
Certificate
Yes
What You'll Get
Live interactive sessions with AI experts
Hands-on labs and real-world projects
Industry-standard tools and frameworks
Career support and mentorship
Lifetime access to course materials
Certificate of completion
Learning Outcomes
Master these essential AI skills and transform your career
Master Large Language Models (LLMs) and their applications
Build AI agents with autonomous decision-making capabilities
Implement Retrieval-Augmented Generation (RAG) systems
Design multi-agent workflows for complex tasks
Integrate AI agents with external tools and APIs
Deploy production-ready AI agent systems
Understand agent orchestration frameworks
Create conversational AI experiences
Advanced Gen AI and Agentic AI roadmap
Master AI agents, large language models, and retrieval-augmented generation through a structured program.
Large Language Models Deep Dive
3 Weeks
Topics covered
- LLM Architecture and Tokenization
- Fine-tuning and PEFT Methods
- Context Window Management
- Output Parsing and Validation
- Hallucination Mitigation
Retrieval-Augmented Generation (RAG)
3 Weeks
Topics covered
- Vector Databases and Embeddings
- Chunking Strategies
- Retrieval Methods
- RAG Pipeline Architecture
- Advanced RAG Techniques
Building AI Agents
4 Weeks
Topics covered
- Agent Design Patterns
- Memory Systems
- Planning and Reasoning
- Tool Integration
- Error Handling and Recovery
Multi-Agent Systems
3 Weeks
Topics covered
- Agent Collaboration
- Communication Protocols
- Task Decomposition
- Swarm Intelligence
- Coordination Strategies
Production Deployment
2 Weeks
Topics covered
- API Development
- Scalability Considerations
- Monitoring and Observability
- Security Best Practices
- Cost Optimization
Projects
- Autonomous Research Assistant
- Customer Support Chatbot
- Code Review Agent
- Data Analysis Agent
Tools covered
- Python
- TypeScript
- OpenAI API
- Anthropic API
- LangChain
- LlamaIndex
- AutoGPT
- CrewAI
- Pinecone
- ChromaDB
- PostgreSQL
- Redis
- Docker
Learning outcomes
- Master Large Language Models (LLMs) and their applications
- Build AI agents with autonomous decision-making capabilities
- Implement Retrieval-Augmented Generation (RAG) systems
- Design multi-agent workflows for complex tasks
- Integrate AI agents with external tools and APIs
- Deploy production-ready AI agent systems
- Understand agent orchestration frameworks
- Create conversational AI experiences
Tools & Technologies
Master industry-standard AI tools and frameworks
Technologies
Python
TypeScript
OpenAI API
Anthropic API
Frameworks
LangChain
LlamaIndex
AutoGPT
CrewAI
Tools
Pinecone
ChromaDB
PostgreSQL
Redis
Docker
Hands-on Projects
Build real-world AI applications and strengthen your portfolio
Autonomous Research Assistant
Build an AI agent that can autonomously research topics, synthesize information, and generate comprehensive reports.
Outcome: Portfolio-ready research automation system
Customer Support Chatbot
Create a multi-agent customer support system with RAG capabilities for accurate, context-aware responses.
Outcome: Production-grade support automation
Code Review Agent
Develop an AI agent that can review code, suggest improvements, and generate documentation automatically.
Outcome: Automated code quality assistant
Data Analysis Agent
Build an agent that can analyze datasets, generate insights, and create visualizations automatically.
Outcome: Intelligent data analysis workflow
AI Agent Workflow
Understand how AI agents process information and make decisions
Input Processing
User queries are parsed and understood by the agent
Context Retrieval
Relevant information is fetched from knowledge bases
Reasoning
Agent analyzes context and plans the optimal response
Tool Execution
Agent calls appropriate tools and APIs to complete tasks
Response Generation
Final output is generated and formatted for the user
Your Learning Journey
A structured path from fundamentals to advanced AI expertise
Fundamentals
Learn the basics of AI, LLMs, and agent architectures
Core Skills
Advanced Topics
Real Projects
Career Opportunities
Unlock exciting career paths in the rapidly growing AI industry
AI Engineer
Design and implement AI systems and agent architectures
ML Engineer
Build and deploy machine learning models at scale
Prompt Engineer
Optimize AI interactions and design effective prompts
AI Product Manager
Lead AI product development and strategy
Industry Statistics
74%
AI Job Growth
Year-over-year increase in AI job postings
$190B
Market Size
Global AI market projected for 2025
50%
Skills Gap
Companies struggling to find AI talent
Frequently Asked Questions
Got questions? We've got answers
What are the prerequisites for this course?
Basic programming knowledge in Python is required. Familiarity with machine learning concepts is helpful but not mandatory. We provide foundational materials to help you get started.
How long is the course and what is the format?
The course is 4 months long with a blend of live sessions, recorded content, hands-on labs, and project work. You will have access to mentors and a supportive community throughout.
Will I receive a certificate upon completion?
Yes, upon successful completion of the course and projects, you will receive a certificate of completion that you can add to your LinkedIn profile and resume.
What kind of projects will I build?
You will build 4+ real-world projects including autonomous research assistants, customer support chatbots, code review agents, and data analysis systems. These projects will be portfolio-ready.
Is job placement assistance provided?
We provide career support including resume reviews, interview preparation, and connections to our hiring partners. While we cannot guarantee placement, we actively support your job search.
Can I access the course content after completion?
Yes, you will have lifetime access to course materials, updates, and the community forum even after completing the course.
Ready to Master Agentic AI?
Join the next cohort and start building autonomous AI systems that transform industries.
Industry-relevant curriculum
Hands-on projects and labs
Expert mentorship
Career support and guidance