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Master Diploma in Generative AI & Agentic AI Development
BY
Boston Institute of Analytics
Build future ready AI skills with Master Diploma in generative AI and Agentic development through real world projects and global certification.
Part time, Online
10 Months
₹ 145,000
Quick facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Course overview
The Mster Diploma in Generative AI & Agentic AI Development course is being offered by the Boston Institute of Analytics (BIA). This Generative AI & Agentic AI Development course is designed to empower participants with cutting edge expertise in artificial intelligence, specifically focusing on generative models and agentic AI systems. This Mster Diploma in Generative AI & Agentic AI Development course blends technical depth with practical applications, helping participants understand how advanced AI technologies can be implemented across industries.
The duration of this Mster Diploma in Generative AI & Agentic AI Development course is 10 months. This Mster Diploma in Generative AI & Agentic AI Development course is delivered by experienced industry practitioners and academic experts who specialize in AI innovation. The curriculum covers fundamental concepts, practical programming, AI frameworks, and real-world deployment strategies. The participants will gain exposure to hands-on labs, interactive sessions, and mentor guidance throughout the program. Whether participants are an undergraduate student, early-career professional, or an experienced technologist looking to upskill, this course opens pathways to emerging job roles such as AI Developer, Machine Learning Engineer, Data Scientist, and Generative AI Specialist. With placement support, scholarship opportunities, and flexible learning formats, this certification is a strong step toward building a rewarding AI career.
The highlights
- 10 months course
- Industry-aligned Generative AI & Agentic AI curriculum
- Hands-on projects with real-world applications
- Live sessions with AI industry experts
- Comprehensive coverage of AI frameworks and tools
- Access to a dedicated AI learning community
- Placement assistance with top
Program offerings
- Real-world projects
- Expert instructors
- Peer & alumni community access
- Doubt clearing sessions
- Case studies
- No cost emi options available
- 10 months course
Course and certificate fees
Fees information
₹ 145,000
The fees for the Master Diploma in Generative AI & Agentic AI Development course is :
| Fees components | Amount |
| Course fees | Rs. 145000 |
certificate availability
Yes
certificate providing authority
Boston Institute of Analytics
Eligibility criteria
The participants must have a bachelor’s degree in Computer Science, IT, Engineering, Mathematics, Statistics, or a related field. The participants must have a basic knowledge of basic python skills. Also there is no prior work experience required.
What you will learn
The participants will acquire an in-depth understanding of both the theoretical and practical aspects of AI. The participants will begin by learning the foundational concepts of machine learning and deep learning followed by advanced techniques in generative AI models, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformer architectures. This Mster Diploma in Generative AI & Agentic AI Development course also emphasizes agentic AI development, teaching how autonomous AI agents can operate, make decisions, and interact in dynamic environments.
Who it is for
Data scientist
Software engineer
Machine learning engineer
Artificial intelligence engineer
Product manager
The target audience for the Mster Diploma in Generative AI & Agentic AI Development course includes:
Admission details
Follow the steps below to join the Mster Diploma in Generative AI & Agentic AI Development course.
Step 1 - Click on the link below: https://bostoninstituteofanalytics.org/generative-ai-agentic-ai-development/
Step 2 - Click on “Enquire Now”. Submit the form and your contact details and a representative will contact you.
Step 3 - Once the fees are paid, you are enrolled in the course
The syllabus
Generative AI Course and Agentic AI Development Course: Orientation
Course Expectations and Structure
Introduction to the Learning Environment
- Digital Platforms and Resources
- Communication Channels
Core Foundations (Start Here)
Introduction to the Learning Environment
- Digital Platforms and Resources
- Communication Channels
Foundations of Agentic AI & Generative Intelligence
- Evolution: From LLMs to Agents
- What makes an agent agentic?
- Components of an intelligent agent: Planning, Memory, Tool Use, Goals
- Agent Types: Reflex, Goal-Based, Utility-Based, Learning Agents
- Generative AI Landscape: Text, Vision, Speech, Code
- Assignment: Compare Agent architectures across LangChain, CrewAI, AutoGen
Prompt Engineering & Autonomous Reasoning
- Structured prompting strategies (ReAct, CoT, ToT)
- Role of memory and dynamic prompt generation
- Self-reflection and self-evaluation strategies
- Toolformer-style reasoning
- Mini Project: Build a smart travel planner that reasons across multiple goals and reflects on its suggestions
Core Development Skills (Build the Brain)
RAG & Multi-modal Systems
- Vector Databases: FAISS, Pinecone, Weaviate
- Chunking & Embedding Optimization
- RAG with PDFs, CSVs, YouTube, Codebases
- Multi-modal RAG (text+image+video): Architecture and applications
- Project: Build a Document Q&A + YouTube + Chart reader RAG system
Fine-Tune LLMs
- Data curation
- Full‑parameter workflow
- LoRA / QLoRA
- Safety and evaluation
Agentic Frameworks Deep Dive
- LangChain, AutoGen, CrewAl, LangGraph, MetaGPT
- Planning and Scheduling
- Memory: Episodic, Long-Term, Retrieval-Based
- Tool Use and Tool Chaining
- Feedback loops, retries, exception handling
- Assignment: Convert a prompt-based app into an autonomous agent with task decomposition
Multi-Agent Collaboration & Communication
- Architecting multi-agent workflows
- Roles: Manager, Worker, Evaluator, Researcher
- Agent communication protocols
- Parallel execution and delegation strategies
- Project: Create a multi-agent research team (Researcher + Writer + Editor + Reviewer)
Real-World Execution (Bring to Life)
Real-Time & Event-Driven Agents
- Event-based triggers, webhooks, socket communication
- Agents that respond to API calls, calendar updates, user commands
- Real-time planning and adaptive behavior
- Project: Personal productivity assistant that responds to events (emails, calendars, chat)
AgentOps & Scaling in Production
- Observability: Logging, analytics, telemetry
- Safety: Guardrails, filters, ethical considerations
- Deployment: Docker, FastAPI, LangServe
- Latency optimization and cost control
- Assignment: Create a deployable Agent with monitoring and feedback loop
Advanced and Emerging Tracks (Next Generative AI Builders)
Building Voice + Avatar Agents
- STT (Whisper) + TTS (Piper/ElevenLabs)
- Lip Sync with Audio2Face or Three.js Avatar
- Build Voice-Interactive Agent with Personality
- Project: Develop an Agent that can talk, express and look like actual human
Agent Evaluation & AI Governance
- Agent Performance Metrics
- Auto-Scoring + Human-in-the-Loop
- Responsible AI, Ethics, Governance
Industry Focus & Portfolio Creation (Mastery Track)
Enterprise Use Cases
- Finance: Autonomous reporting & reconciliation
- Healthcare: Virtual triage & medical summary generation
- Retail: Conversational agent for dynamic catalog search
- Legal: Contract analyzer with risk flagging
Capstone Project Allocation, Mentorship and Presentation
- Project Assignment by Capstone Mentor
- Orientation Session by Capstone Mentor – Project Expectations
- Mentorship Session by Capstone Mentor – Doubt Resolutions
- Project Presentation
Career Enhancement
Soft Skills Training
- Presentation Skills
- Email Etiquettes
- LinkedIn Profile Building
- Personality Development and Grooming
Interview Preparation
- Interview Do’s and Don’ts
- Mock Interviews
- HR And Technical Interview Prep
- One-On-One Feedback
How it helps
Earning this certification provides multiple advantages, Industry-recognized credential in Mster Diploma in Generative AI & Agentic AI. Enhanced employability for AI Developer, Data Scientist, and Machine Learning Engineer roles. Ability to design and deploy autonomous AI solutions. Access to a network of AI professionals and mentors. Strengthened knowledge in ethical AI and responsible deployment practices.
FAQs
What is the duration of this course?
The Mster Diploma in Generative AI & Agentic AI Development course spans approximately 10 months.
Is prior programming knowledge required?
Basic knowledge of Python and fundamental programming concepts is recommended but not mandatory.
Can I get placement support after completing the Mster Diploma in Generative AI & Agentic AI Development course?
Yes, BIA provides placement assistance, resume building, and interview preparation.
What projects will I work on?
The participants will implement real-world generative AI and agentic AI projects, including NLP models, GANs, and autonomous agents.
Is the Mster Diploma in Generative AI & Agentic AI Development course recognized globally?
Yes, the Mster Diploma in Generative AI & Agentic AI Development certification course is industry-recognized and adds value to AI roles internationally.
