Best Institute for Generative AI & Agentic AI Course with Placement Training Classes
Master next-generation AI skills with a hands-on Gen AI and Agentic AI course focused on real-world projects, AI agents, and practical LLM applications.
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Generative AI (GenAI) Course Syllabus
Move from AI User to AI Builder with Practical Training
- Overview of Generative AI
- What is generative AI?
- What’s latest in GenAI?
- Generative AI Traditional AI
- Common Techniques of Generative AI
- Evolution of LLM
- Gans and LLM?
- Use of GENERATIVE AI
- Challenges in Generative AI
- Understanding AI: Basics and Use Cases
- Differentiating ML, DL, and AI
- Domains of AI-ML
- Use of AI-ML
- Conclusion
- Why Python
- Getting Started
- First program
- Keywords and Identifiers
- Python Variables
- Constants, and Literals
- Python Data Types
- Python Input, Output and Import, ..else
- Statement
- Python Loop
- Python Functions
- Python Modules vs Package vs Libraries vs
- Frameworks
- Machine Learning Basics and Algorithms
- What is NLP
- History of NLP
- NLP End to end workflow
- Stopwords
- Tokenization
- Stemming
- Lemmatization
- POS tagging
- TFIDF
- One hot encoding
- Bag of words
- Unigram
- Bigram
- ngram
- Word embeddings
- Skip Gram
- Word2vec model
- RNN
- LSTM Models & GRU Models,
- Evolution in NLP
- Foundations of Generative Models & LLM
- Encoder Models
- Decoder Models
- Encoder-decoder architecture
- Attention mechanism
- reseach paper walkthrough
- Transformers Models
- Introduction
- Natural Language Processing
- Transformers, what can they do?
- How do Transformers work?
- Load models and Use locally
- Real-world applications and case studies of LLMs
- Chatbot Creation
- Fine-tuning a model process
- LSTM vs GRU
- Fine tuning Transformers model
- History Of Generative AI
- Generative AI (GenAI): The evolution of creativity through technology
- Chatgpt- GPT-2, GPT-3, GPT-3.5,
- LLAMA-2,
- OpenChat Model
- Prompt Engineering
- Hallucination in llm
- Simple finetuning of LLM: LLAMA-2
- What is GGUF
- What is GGML
- Use of Open Source LLM on Local Machine
- How to use pretrain LLM models
- using Ctransfromers
- LM Studio
- Generative Adversarial Networks (GANs)
- Image Generation
- Pix2pix Gan
- Dall-e and prompts in GenAI Images
- Reinforcement Learning, Techniques of RL,
- OPENAI Gym, Reinforcement Learning, LLM Applications
- Deployment Strategies
- Hardware Requirements
- APIs, Dockers etc
- Langchain: A Framework for LLMs
- Demo with FastAPI and Streamlit
- LLM Operations
- Scalability
- Best Practices
- Responsible AI
- Google's Approach
- Ethical Issues
Prompt Engineering
- The nature of AI,
- Comparison of Descriptive AI and Generative AI,
- Core concepts of NLP, Basics of language understanding
- What is GPT, Its evalution and generational changes
- What is Prompt engineering, its importance,
- types of prompts
- Stratagies for generating text, music and video using prompt
- question-Answering systems
- Conversational AI
- Sentiment Analysis
- GitHub Copilot Exploration
- Exploring the capabilities and limitations of DALL-E 2 and GPT-4
ChatGPT
- History and Development of ChatGPT
- Examples of ChatGPT use in various industries
- Key concepts and principles of Generative AI
- Examples of Generative AI models including ChatGPT, LamDA and Others
- ChatGPT applications in everyday life such as writing,translation and creativity
- Explore ChatGPT potential for Entertainment and Education
- Practical coding tasks and automation using ChatGPT, Implementing ChatGPT as
- Virtual assistant or Chatbot for customer service
- Utilizing ChatGPT for Content creation, Social media engagement and personalized marketing campaigns
- Overview of GPT
- ChatGPT Capabilities
- GPT Architecture
- GPT-3 vs GPT-4,
- Advancements in GPT-4
- Accessing Open AI API-API keys and Rate Limits
- Conversion flows-GPT in Chatbots Testing and Iteration
- Dataset preparation,Fine-tuning Techniques,Model Performance Monitoring
- Writing Clear
- Concise and Focused prompts to maximize ChatGPT's Performance
Azure
- What is cloud computing
- Why it is important
- Cloud services
- Applications
- Benefits
- Architectures
- What is Azure
- Why Azure
- Azure services
- Azure core architecture
- Core azure services domains
- Creation of azure account
- Intro to AI/ML services
- What is azure ml designer studio
- Developing ml models
- python and r applications in studio
- Resource groups
- Virtual machine concepts
- Storage service
- Web apps
- Databricks environment
- Azure sql databases, billing
- What is azure open ai
- Open ai documentation
- How to use azure open ai studio
- Creating applications
- Different models in azure open ai
Core Python
- Programing Cycle of Python
- Python IDE
- Variables
- Data type
- Number
- String
- List
- Tuple
- Dictionary
- Arthmatic
- Comparison
- Assignment
- Logical
- Bitwise operator
- Decision making If
- While loop
- For loop and nested loop
- Mathematical functions
- Random function
- Trigonometric function
- Number type conversion - int(), long(). Float ()
- Strings- Escape char, String special Operator , String formatting Operator
- Build in string methods - center(), count()decode(), encode()
- Python List - Accessing values in list, Delete list elements , Indexing slicing & Matrices Built in Function - cmp(), len(), min(), max()
- Tuples - Accessing values in Tuples, Delete Tuples elements , Indexing slicing & Matrices Built in tuples functions - cmp(), len ()
- Dictionary - Accessing values from dictionary, Deleting and updating elements in Dict. Properties of Dist. , Built in Dist functions & Methods.
- Date & time -Time Tuple , calendor module and time module
- Function - Define function , Calling function
- pass by refernece as value , Function arguments , Anonymous functions , return statements
- Scope of variables - local & global
- Dir() function
- global and location functions and reload () functions .
- Packages in Python
- Files in Python- Reading keyboard input , input function
- Opening and closing files . Syntax and list of modes
- Files object attribute- open , close . Reading and writing files , file Position.
- Renaming and deleting files
- mkdir methid, chdir () method , getcwd method , rm dir
- Exception handling - List of exceptions - Try and exception
- Try- finally clause and user defined exceptions
- OOPS concepts , class , objects , Inheritance
- Overriding methods like _init_, Overloading operators , Data hiding
- match function , search function , matching vs searching
- Regular exp modifiers and patterns
- introduction to Django framework, overview, environment
- Apps life cycle, creating views, Application
- Numpy, Pandas, Matplotlib
Popular Job Guaranteed Courses
Our Generative AI & Agentic AI Course is designed for students, working professionals, developers, entrepreneurs, and beginners who want to build practical skills in modern Artificial Intelligence. The course covers Generative AI, prompt engineering, Large Language Models, RAG, AI agents, intelligent workflows, and automation concepts. Learners gain hands-on exposure to creating AI-powered applications that can generate content, retrieve information, assist users, and perform multi-step tasks. Whether you are starting after college, upgrading your technical skills, or exploring AI for business, this training helps you build future-ready knowledge, earn certification, and prepare for emerging career opportunities. Course Available in Navi Mumbai, Thane and Mumbai
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Learn Best Generative AI Course in Navi Mumbai, Thane & Mumbai - Best Agentic AI Training Institute with GENAI Certification, Placement & Online Classes Near Me
AI Is Moving Beyond Chatbots — Learn How to Build Intelligent AI Systems
Artificial Intelligence is entering a new phase. Until recently, most people used AI mainly for generating text, images, presentations or answering questions. Today, businesses are moving towards Generative AI and Agentic AI systems that can understand instructions, access information, use tools and perform multi-step tasks.
To help learners prepare for this changing technology landscape, SofTech Education offers a career-focused Generative AI & Agentic AI Course for students, working professionals, developers, business owners, entrepreneurs and complete beginners interested in modern Artificial Intelligence.
If you are searching for the best Generative AI course, Agentic AI training institute, AI certification, experienced trainer, practical AI courses, or a full course for beginners, SofTech Education provides structured training designed around modern AI applications.

What Is Generative AI?
Generative AI refers to Artificial Intelligence systems capable of creating new content based on instructions and available information.
Modern Generative AI applications can help create:
- Text and documents
- Images and creative content
- Computer code
- Business reports
- Marketing content
- Summaries
- Customer responses
- Research assistance
- Knowledge-based chatbots
- Automated business workflows
Tools powered by Large Language Models (LLMs) are changing how individuals and companies complete everyday tasks.
But Generative AI is only one part of the AI transformation.
What Is Agentic AI?
Agentic AI takes Artificial Intelligence a step further.
Instead of only responding to a question, an AI agent can be designed to understand an objective, decide what actions are required and execute multiple steps to complete a task.
For example, a traditional chatbot might tell you how to prepare a sales report.
An AI agent could potentially:
Collect Data → Analyze Information → Prepare Report → Generate Summary → Recommend Next Actions
This ability to create intelligent workflows is why knowledge of AI Agents and Agentic AI is becoming increasingly valuable.
Who Should Join This AI Course?
The Generative AI & Agentic AI training course at SofTech Education is designed for different types of learners, including:
- College students
- Fresh graduates
- Engineering students
- Computer Science and IT students
- Software developers
- Data professionals
- Working professionals
- Business analysts
- Digital marketers
- Entrepreneurs
- Business owners
- Technology enthusiasts
- Career changers
- AI beginners
You do not need to already be an AI expert. A properly structured Generative AI course for beginners can help learners understand the technology step-by-step before progressing to advanced applications.
What Will You Learn in the Full Generative AI & Agentic AI Course?
The full course is designed to introduce learners to both the concepts and practical applications behind modern AI.
Generative AI Fundamentals
Understand how Generative AI works and how it differs from traditional Artificial Intelligence.
Learn about:
- Generative AI concepts
- Large Language Models
- AI applications
- Text generation
- AI-powered productivity
- Business use cases
Prompt Engineering
The quality of an AI response often depends on how instructions are provided.
Students can learn techniques for writing better prompts, structuring instructions and getting more useful outputs from AI models.
Large Language Models
Understand the technology behind modern AI assistants and how LLM-powered applications can be developed for different business requirements.
Retrieval-Augmented Generation (RAG)
Learn how AI applications can use company documents, databases or knowledge sources to generate more relevant responses.
RAG can be useful for developing:
- Internal company assistants
- Customer support bots
- Knowledge management systems
- Document search applications
- Enterprise AI solutions
AI Agents
Students are introduced to the concepts behind intelligent AI agents.
Learn how agents can:
- Understand objectives
- Use tools
- Retrieve information
- Perform tasks
- Follow workflows
- Coordinate multiple actions
Agentic AI Workflows
Understand how multiple AI-powered steps can be connected to automate more complex business processes.
Learn Through Practical AI Training
Artificial Intelligence is best understood by building and experimenting with applications.
The SofTech Education AI training program focuses on practical learning so students can understand how Generative AI can be applied beyond simple prompts.
Learners can explore project ideas such as:
- AI Customer Support Assistant
- AI Sales Assistant
- Document Question-Answering System
- AI Research Assistant
- Automated Content Assistant
- HR Knowledge Assistant
- Lead Qualification Agent
- Business Reporting Agent
- AI Email Assistant
- Multi-Step AI Workflow
Practical projects help learners understand the difference between simply using AI tools and actually building AI-powered solutions.
Generative AI & Agentic AI Course for Beginners
AI terminology can initially appear complicated, particularly for students coming directly from college or professionals without an AI background.
A beginner-friendly learning journey can progress through:
AI Fundamentals → Prompt Engineering → LLMs → Generative AI → RAG → AI Agents → Agentic Workflows → Projects
This structured approach helps beginners gradually move from using AI to understanding how intelligent applications are created.
Career Opportunities in Generative AI and Agentic AI
Generative AI skills can complement several existing technology careers.
Depending on experience and technical knowledge, learners may explore opportunities related to:
- Generative AI Developer
- AI Engineer
- LLM Application Developer
- AI Automation Specialist
- Prompt Engineer
- AI Solutions Developer
- Machine Learning Engineer
- AI Consultant
- Agentic AI Developer
- AI Product Specialist
Professionals can also combine AI knowledge with their existing domain expertise in marketing, finance, software, operations, education or business management.
Why Business Owners Should Understand Agentic AI
The course is not useful only for people looking for technical jobs.
Business owners and entrepreneurs can learn how AI could support:
- Customer service automation
- Lead management
- Sales follow-ups
- Document processing
- Employee assistance
- Marketing workflows
- Business reporting
- Knowledge management
- Repetitive administrative activities
Understanding Generative AI can help decision-makers identify where AI genuinely creates value rather than implementing technology simply because it is popular.
Generative AI & Agentic AI Certification
Learners completing the required training, projects and assessments can receive a Generative AI & Agentic AI certification from SofTech Education.
Along with certification, learners should focus on developing practical projects that demonstrate their ability to understand and apply AI technologies.
Generative AI & Agentic AI Course Fees
The Generative AI & Agentic AI course fees may vary depending on course duration, training mode, batch type and program structure.
Students can contact SofTech Education for updated information about:
Course fees | Syllabus | Duration | Certification | Batch timings | Trainer | Admission
Choose the Right AI Training Institute
When comparing top Generative AI training institutes or searching for the best Agentic AI course, learners should consider more than advertisements.
Look for a course that provides:
- Beginner-friendly training
- Experienced trainer support
- Updated AI concepts
- Practical exercises
- Generative AI projects
- Agentic AI projects
- Full course curriculum
- Certification
- Real-world business applications
Start Building with AI, Not Just Using It
The next generation of AI professionals will need to understand more than how to type prompts into an AI chatbot.
They will need to know how AI can retrieve information, connect with tools, automate workflows and complete meaningful tasks.
The SofTech Education Generative AI & Agentic AI Course is designed to help learners begin that journey.
SofTech Education – Generative AI & Agentic AI Training Institute
Courses | Training | Certification | Beginners | AI Agents | Full Course | Practical Projects
Admissions & Enquiries Open
Contact SofTech Education for the latest Generative AI & Agentic AI course fees, trainer details, syllabus, certification, course duration and upcoming batches.
