Generative AI Foundation Program

  • High Demand In The It And Business Industry: Generative ai is in demand because companies need professionals who can use ai tools, automate tasks, build chatbots, and create ai-powered solutions.
  • Useful For Technical And Non-technical Learners: Generative ai is suitable for learners from different backgrounds because it helps in content creation, research, automation, productivity, coding support, and business workflows.
  • Build Practical Ai Application Skills: By learning generative ai, learners can create chatbots, content generators, document assistants, summary tools, and basic ai applications for portfolio building.
0.5 Month ₹5,999 ₹3,999
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Generative AI Foundation Program
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Course Overview

Build a practical foundation in Generative AI by learning Python basics, AI concepts, Prompt Engineering, Gemini/OpenAI model usage, LangChain basics, prompt templates, simple chatbot development, document question-answering basics, and a beginner-level Generative AI mini project.

Course with Live Project

No Refund Available

python and ai foundation: learners start with basic python concepts like variables, data types, conditions, loops, functions, lists, dictionaries, and file handling for ai-based tasks.

prompt engineering and ai model usage: work with effective prompts, role-based prompts, structured outputs, gemini/openai models, and basic langchain model integration.

Beginner-level Gen Ai Project Development: Develop Practical Mini Projects Like Ai Content Generator, Ai Chatbot, Resume Summary Generator, Email Reply Generator, And Basic Document Question-answering Assistant.

Course Content

  • • python installation and environment setup
  • • introduction to python for ai development
  • • understanding variables and data types
  • • working with strings and text data
  • • using python operators
  • • using conditional control statements
  • • applying loops for repeated tasks
  • • creating functions for reusable code
  • • working with lists and dictionaries
  • • working with files in python
  • • writing simple python scripts for ai tasks

  • • understanding artificial intelligence and generative ai
  • • difference between ai, machine learning, deep learning, and gen ai
  • • introduction to large language models
  • • understanding gpt and gemini models
  • • how generative ai creates text responses
  • • understanding prompts, tokens, and context
  • • understanding hallucination and ai limitations
  • • real-world applications of generative ai

  • • understanding prompt engineering
  • • writing clear and effective prompts
  • • understanding instructions, context, and output format
  • • using zero-shot prompting
  • • using one-shot and few-shot prompting
  • • creating role-based prompts
  • • creating structured output prompts
  • • improving poor ai responses
  • • using ai for blog writing, emails, resume, reports, and productivity tasks

  • • introduction to langchain
  • • why langchain is used in generative ai applications
  • • installing and setting up langchain
  • • understanding api keys and environment variables
  • • connecting gemini model with langchain
  • • connecting openai model with langchain
  • • understanding chat models
  • • creating prompt templates in langchain
  • • passing user input to ai models
  • • reading and processing ai responses

  • • understanding ai chatbot architecture
  • • creating a simple ai chatbot
  • • using prompt templates for chatbot responses
  • • handling user input
  • • creating context-aware conversations basics
  • • improving chatbot response quality
  • • testing chatbot responses
  • • preparing chatbot documentation

  • • introduction to document-based ai applications
  • • understanding retrieval-augmented generation basics
  • • loading text or pdf documents
  • • splitting documents into small chunks
  • • understanding embeddings basics
  • • understanding vector database basics
  • • creating a basic document question-answering system
  • • testing ai responses from documents

  • • create python programs using variables, loops, conditions, functions, lists, and dictionaries.
  • • create prompts for blog writing, email reply, resume summary, and business report generation.
  • • build a simple ai content generator using langchain prompt templates.
  • • create a basic ai chatbot using gemini or openai with langchain.
  • • build a simple document question-answering mini project.

Skills Developed with Generative AI Course

Python Basics For Ai: Learn variables, data types, operators, conditional statements, loops, functions, lists, dictionaries, file handling, and simple python scripts.
Generative Ai Fundamentals: Understand ai, machine learning, deep learning, generative ai, large language models, tokens, prompts, context, and ai limitations.
Prompt Engineering: Learn how to write clear prompts, role-based prompts, zero-shot prompts, few-shot prompts, structured prompts, and task-specific prompts.
Ai Content Creation: Use ai for blog writing, email generation, resume summaries, social media content, business reports, ideas, and productivity tasks.
Gemini And Openai Model Basics: Understand how to use gemini or openai models for text generation, question answering, summarization, and chatbot responses.
Langchain Basics: Learn the purpose of langchain, model connection, prompt templates, user input handling, and response processing.

Career Opportunities after Generative AI Course

This course opens doors to multiple high-demand career paths across industries.

Generative Ai Intern:

Support teams in creating ai prompts, testing ai responses, building small ai tools, and documenting ai workflows.

Prompt Engineering Assistant:

Create and improve prompts for content generation, business tasks, chatbot responses, summaries, and structured outputs.

Ai Chatbot Assistant:

Help build and test simple ai chatbots for education, customer support, productivity, and business use cases.

Ai Content Automation Assistant:

Use ai tools to generate blogs, emails, reports, summaries, social media content, and productivity documents.

Python Ai Beginner Role:

Build small python-based ai applications using prompts, ai models, langchain basics, and simple project workflows.

Why Enroll in Generative AI with Solitaire Learning?

Beginner-friendly Ai Training: The course starts from python basics and ai fundamentals, making it suitable for learners from different backgrounds.
Practical Project-based Learning: Learners work on real-world mini projects like ai chatbot, content generator, email reply tool, resume summary generator, and document q&a assistant.
Industry-relevant Ai Tools: The course covers python, chatgpt, google gemini, openai/gemini api basics, langchain basics, prompt templates, and rag fundamentals.
Mentor-guided Learning: Learners receive mentor support for python concepts, prompt writing, model usage, chatbot creation, document assistant development, and project presentation.
Strong Foundation For Advanced Gen Ai Courses: The course builds a solid base before moving into 1 month, 45 days, 2 months, 3 months, 4 months, or 6 months generative ai programs.

Ready to Take the Next Step in Your Career?

Join our expert-led training program, gain industry-recognized skills, and move closer to your professional goals. Seats are limited — enroll today!

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