Advanced Certification in
Generative AI & Prompt Engineering
Accelerate your tech career with our industry-leading Generative AI Certification Program — crafted for software engineers ready to master the future of AI innovation. This immersive training blends cutting-edge AI concepts, prompt engineering techniques, and hands-on projects designed to build real-world expertise.
Gain practical experience with Generative AI tools, LLMs (Large Language Models), and AI-driven automation, empowering you to design and deploy intelligent solutions confidently. With our project-based AI learning approach, you’ll not only understand the theory but also gain the in-demand skills to lead in today’s AI-powered world.
Program Highlights
DEVELOP 6 GENERATIVE AI TOOLS
ENTIRELY PROJECT-BASED LEARNING
6 HANDS-ON PROJECTS
100% CONTINUED MENTORSHIP SUPPORT
HYBRID LEARNING (SELF PACED + LIVE CLASSES)
SESSIONS WITH SUBJECT MATTER EXPERTS & INDUSTRY PROFESSSIONALS
PYTHON REFRESHER COURSE
Introduction to Generative AI
Generative Artificial Intelligence (AI) is revolutionizing the tech world by enabling machines to create new, realistic data and content — from images and text to music and human-like conversations. Unlike traditional AI focused on prediction or classification, Generative AI empowers systems to generate original, high-quality outputs that mimic real-world data.
At its core, this technology leverages powerful models like Generative Adversarial Networks (GANs) and Large Language Models (LLMs), where neural networks collaborate and compete to produce highly authentic results. These breakthroughs are driving innovation across industries — from AI-driven art and content creation to natural language processing and design automation — making Generative AI one of the most in-demand skills in AI and machine learning training today.
About the Program
Our Generative AI Certification Program is an intensive, industry-ready training designed for software engineers eager to master advanced AI development. The journey begins with Python fundamentals, covering data structures, OOP concepts, and data handling, then progresses to data analysis with Pandas and NumPy and data visualization using Matplotlib and Seaborn.
You’ll gain a strong foundation in machine learning, deep learning, and NLP, before diving into Generative AI concepts, ethical AI practices, and prompt engineering with tools like ChatGPT, DALL·E, and Midjourney.
The program also explores advanced frameworks such as GANs, VAEs, LangChain, and Hugging Face, empowering learners to build, fine-tune, and deploy custom AI models. With
hands-on projects and real-world case studies, participants graduate with the practical expertise and portfolio needed to excel in the rapidly growing Generative AI industry.
Course Curriculum
CORE GEN AI, ADVANCED PROMPTING & PROGRAMMING ESSENTIALS
9 WEEKS
Foundational Concepts
Build a strong base in Generative AI fundamentals by exploring its core principles, evolution, and real-world impact. Gain a clear understanding of how AI creates new data, reshapes industries, and drives innovation.
Learn about key model architectures such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Diffusion Models, along with an in-depth study of Large Language Models (LLMs) like GPT-3.5 and GPT-4.
Discover industry applications across healthcare, finance, entertainment, and marketing, supported by real-world case studies. Develop awareness of ethical AI practices and the responsible use of generative technologies.
The module also covers Python programming essentials, data structures, algorithms, and hands-on practice with AI libraries such as TensorFlow, PyTorch, and NumPy — laying the groundwork for mastering advanced Generative AI development.
Essentials of Prompt Engineering
Learn to craft powerful, effective prompts that enhance AI accuracy and output. Master the core components of prompt design and apply advanced methods like Few-Shot and Zero-Shot Prompting.
Build complex Prompt Chains for multi-step reasoning and explore next-gen techniques such as Chain-of-Thought and Retrieval-Augmented Generation (RAG). Gain the skills to design and optimize prompts that maximize LLM performance in real-world use cases.
Exploration of AI Tools
Work hands-on with leading AI tools like ChatGPT 3.5/4, DALL·E 2, and Claude for text and image generation. Explore Synthesia and Midjourney for multimedia creation, and leverage GitHub Copilot, Perplexity, and Luma to enhance coding and productivity.
Stay ahead with emerging tools such as Google Bard and Microsoft Copilot, gaining practical experience across the latest AI ecosystems.
In-depth Study of GANs, VAEs, and Diffusion Models
Explore the architecture, types, and real-world applications of GANs, VAEs, and Diffusion Models, while understanding their strengths, challenges, and limitations.
Dive into the latest advancements in generative modeling for image, text, and multimedia generation, including emerging architectures like score-based generative models that are redefining AI creativity and performance.
LangChain and Hugging Face
Gain hands-on experience with LangChain, learning its core concepts, practical applications, and how to build and customize AI chains for intelligent workflows.
Explore Hugging Face to leverage pre-trained models, fine-tune them for specific tasks, and access diverse datasets for real-world AI projects. Stay updated with the latest advancements in model fine-tuning techniques driving next-gen AI innovation.
Comprehensive Understanding
Develop an in-depth grasp of Transformer Architecture, covering its fundamentals, Encoder-Decoder structure, and Self-Attention Mechanism.
Apply these principles to NLP tasks using advanced models like BERT, GPT, and other state-of-the-art transformers. Explore innovations such as sparse and efficient transformers that enhance model performance and scalability.
PROJECT MODULE
3 WEEKS
ETHICS AND FUTURE TRENDS IN AI
1 WEEKS
Responsible AI & Future Trends
Explore how Responsible AI is shaping the future of technology. Learn to mitigate AI risks, follow ethical frameworks, and embrace emerging innovations like Explainable AI and AI for Social Good.
Engage in debates, discussions, and real-world case studies on AI ethics, governance, and accountability for a more transparent and sustainable future.
Learning Outcomes
Python Proficiency and Foundations
Object-Oriented Programming (OOP) Mastery
Data Manipulation and Visualization Skills
Machine Learning Fundamentals
Neural Networks and Deep Learning Basics
Natural Language Processing (NLP) Foundations
Introduction to Generative AI
Advanced Gen AI Tools Proficiency
Advanced Gen AI Techniques Understanding
Effective Prompt Engineering and Huggingface Integration
Advanced Gen AI Tools Proficiency
Project-Based Learning and Practical Application
Career Readiness in Gen AI
Who Should Apply
Professionals currently working in AI or machine learning who want to enhance their practical skills and deepen their understanding by exploring advanced topics such as neural networks, natural language processing (NLP), and generative AI.
Entrepreneurs and technology leaders aiming to integrate AI technologies into their businesses or startups, seeking comprehensive knowledge of AI tools and techniques to drive innovation and product development.
Individuals with a technical background (such as computer science or engineering) and substantial industry experience who are interested in transitioning into roles centered around AI, machine learning, or data science.
Experienced professionals (5+ years) in software development, engineering, or data analysis looking to expand into AI, machine learning, and advanced data science using Python for data manipulation, visualization, and model development.
Academics or researchers with AI-related experience looking to apply their theoretical knowledge to practical AI applications and real-world industry settings.
Professionals from industries like finance, healthcare, or manufacturing seeking to develop skills to lead AI initiatives and strengthen their organization’s technological capabilities.
Global professionals seeking a structured, intensive AI and machine learning program to gain hands-on experience and credentials for advancing their careers in the global tech industry.
Tools Covered
FAQ
This program is ideal for professionals looking to deepen their understanding of Generative AI technologies and prompt engineering. If you’re an engineer, developer, or someone interested in building AI tools and solutions, this course is perfect for you.
You will gain hands-on experience in Generative AI, prompt engineering, and AI model development. The program covers advanced AI concepts and practical applications in various industries. You’ll build six AI tools, including a fully functional AI personal assistant.
Our program emphasizes a practical, hands-on approach with real-world projects, allowing participants to develop AI tools from scratch. You will also have access to industry expert sessions, active learning workshops, and personalized mentorship throughout the journey.
The program is delivered through a blend of self-paced learning, active learning sessions, industry expert sessions, applied learning projects, and full journey mentorship. This ensures a balanced and flexible learning experience tailored to your needs.
The program is designed with flexibility in mind, allowing you to learn at your own pace. However, to maximize the benefits of active learning and applied sessions, we recommend dedicating around 8-10 hours per week.
You’ll work on projects like building a personal AI assistant, healthcare assistant, language translation apps, and AI chatbots for platforms like WhatsApp and Telegram. These projects help you apply the concepts you’ve learned in real-world scenarios.
Yes, you will receive full mentorship support throughout the program. Our mentors will provide personalized guidance to help you navigate challenges, build your AI tools, and optimize your learning experience.
A basic understanding of programming and AI concepts is recommended. While the program is designed to help you master AI regardless of your background, prior knowledge in Python or machine learning will be beneficial.
In addition to mentorship, you will have access to a community of peers for collaboration and knowledge-sharing. Our instructors and support staff are also available to assist you throughout your learning journey.
Yes, you will receive an Advanced Certification in Generative AI and Prompt Engineering, which you can showcase on your resume and professional platforms like LinkedIn to enhance your career prospects.
Our pricing is more affordable compared to competitors like upGrad and Simplilearn, making this high-value program accessible to a wider audience. Contact us for more details on fees and payment plans.
You can enroll through our website or by contacting our admissions team. We recommend reaching out early as seats are limited and the program fills up quickly.
