Generative AI Course for Beginners & Working Professionals

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 2.1K+ Ratings

Acquire the knowledge of AI and join the AI workforce! Generative AI positions are growing at a rapid rate, providing employees from every walk of life with an opportunity to get marketable skills. Gain employable skills in Generative AI with our in-depth training program.

  • Instructor-Led Live Classes
  • Resume and Interview Guidance
  • 100% Job Placement Assistance
  • Industry-Recognized Certification
  • Comprehensive Curriculum
  • Hands-On Project Experience

Enroll For Free Demo

Get expert's call to discuss your goals and receive free advice.

Next Class Begins in 6 days - Jun 30, 2026

Advance Your Career with Generative AI Course!

Take charge while everyone else waits. Acquiring skills in Generative AI will give you a leg up in the job market.

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Our Reputable Job Placement Network

Empower your career with us

At JanBask Training, we understand that landing the right job is essential for your career growth and success. That's why we've cultivated strong partnerships with trusted job placement experts and organizations to help you take your Automation Testing career to the next level.

Complete Gen AI Training Curriculum

This course on Generative AI is focused on project-driven learning. It emphasizes the development of production-ready skills through hands-on applications and real use cases.

  • The landscape of AI: ML, Deep Learning, and Generative AI.
  • Supervised, Unsupervised, and Reinforcement Learning paradigms.
  • The complete machine learning project lifecycle.
  • Mastering NumPy for numerical operations and array manipulation.
  • Data handling and manipulation with Pandas.
  • Data visualization with Matplotlib and Seaborn.

  • Anatomy of a neuron: The Perceptron model.
  • Building Neural Networks: Layers, Activation Functions (Sigmoid, ReLU, Tanh).
  • How networks learn: Gradient Descent, Backpropagation, and Loss Functions.
  • Understanding convolutions, pooling, and their application in image recognition.
  • Processing sequential data, understanding vanishing/exploding gradients.
  • Advanced architectures for sequence modeling.

  • Understanding Generative vs. Discriminative models.
  • Key concepts: Latent space, data distribution, and sampling.
  • Architecture: The Encoder-Decoder framework.
  • The Reparameterization Trick for training.
  • Generating new data by sampling from the latent space.

  • The Generator and Discriminator: A two-player game.
  • The GAN training process and objective function.
  • Challenges: Mode collapse and training instability.
  • Page Object Model introduction
  • Deep Convolutional GANs (DCGANs): Applying convolutions for stable image generation.
  • Conditional GANs (cGANs): Guiding the generation process with conditional inputs.
  • Overview of advanced models like StyleGAN and CycleGAN.

  • Beyond RNNs: The concept of parallel processing.
  • The Attention Mechanism: "Attention is All You Need."
  • Dissecting the Encoder-Decoder structure of Transformers.
  • Evolution of LLMs: From BERT and GPT-2 to modern architectures.
  • Core concepts: Tokenization, embeddings, and context windows.
  • Fine-tuning vs. In-context learning.

  • Designing effective prompts for desired outputs.
  • Zero-Shot, One-Shot, and Few-Shot prompting techniques.
  • Advanced methods: Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT) for complex reasoning.
  • Interacting with models via APIs (e.g., OpenAI API).
  • Introduction to frameworks for building LLM applications.
  • The complete machine learning project lifecycle.

  • Overcoming LLM knowledge limitations by connecting to external data.
  • Vector Databases: Understanding embeddings and vector search (e.g., Pinecone, Chroma).
  • Building a complete RAG pipeline for question-answering systems.
  • Beyond text: Models that understand and generate images, audio, and code.
  • Text-to-Image Models: Exploring the architecture of models like DALL-E and Stable Diffusion.
  • Introduction to code generation and music generation models.

  • Model Optimization: Quantization and pruning for efficiency.
  • Containerization: Packaging applications with Docker.
  • Deployment strategies: Exposing models via APIs (Flask, FastAPI) and deploying on cloud platforms.
  • Identifying and mitigating bias in AI models.
  • AI safety, alignment, and the problem of hallucinations.
  • The societal impact of generative AI and principles of responsible development.
  • A comprehensive project to design, build, and deploy a generative AI application, integrating concepts from all four modules.

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Generative AI And Certification Batch Details

Preferred

Live Class

70+ Hours of remote classes

USD 95920% Off

USD 1199

Enroll Now

Course Duration : 8 WEEKS

Batch Type

Weekdays

Start Date

30 Jun

Timings

09.00 - 10.30 PM EST

Weekdays

14 Jul

09.00 - 10.30 PM EST

  • Lifetime access to study material, PPT and videos
  • Learn from industry-best instructors with decades of big-tech experience
  • Real-time live chats, discussions, and Q&A sessions
  • Receive certification post completion of the course
  • Watch recorded sessions anytime
  • 24*7 support from the experts
  • 4 week job assistance program
  • Help to market your profile
  • Industry-Relevant Projects
  • Customized LMS with top-notch content

100% Job Assistance

One on One Module

85+ Hours of e-learning content

USD 159920% Off

USD 1999

Enroll Now

Course Duration : 8 WEEKS

Batch Type

Weekdays

Start Date

30 Jun

Timings

09.00 - 10.30 PM EST

  • 100% Job Assistance
  • One-on-One Student Interaction
  • Flexible learning schedule
  • Industry-Relevant Projects
  • Lifetime access to study material/PPT
  • Learn from industry-best instructors with decades of big-tech experience
  • Connect with the instructor on video call to resolve queries
  • Real-time live chats, discussions, and Q&A sessions
  • Receive certification post completion of the course
  • Watch recorded sessions anytime
  • 24*7 support from the instructor
  • 4 week job assistance program
  • Help to market your profile
  • Customized LMS with top-notch content

Self Learning

40+ Hours of e-learning content

USD 25050% Off

USD 499

Flexible Learning

  • Lifetime access to study material/PPT
  • Watch recorded sessions anytime
  • Assignment/recordings by experts
  • Receive certification post completion of the course
  • Customized LMS with top-notch content

Upskill Now for a Better Career

Talk to an expert for Generative AI and discuss your career goals.

Available 24x7 for your queries

+1 202 599 3842

Why learning Generative AI is a Smart Career Move Now?

Across all sectors, companies are pouring billions of dollars into Generative AI and recruiting professionals in the field. So, develop the skills that are in demand by employers and set yourself up for lucrative careers.

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$890.59 Billion

Generative AI market is projected to grow from USD 71.36 billion in 2025 to USD 890.59 billion by 2032.

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$37 Billion Spending

Companies spent $37 billion on Generative AI in 2025, a 3.2x increase from $11.5 billion in 2024.

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89% Skills Enhancement

89% of enterprise leaders agree that Generative AI enhances employees' skills rather than replacing them.

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$200K-$900K

Top AI professionals are commanding packages ranging from $200,000 to $900,000 annually in the US.

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82% Weekly Usage

82% of enterprise leaders use Generative AI at least weekly in 2025.

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75% See Positive ROI

Three out of four enterprise leaders report positive returns on their Generative AI investments.

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47% Production Rate

47% of AI deals move to production, compared to just 25% for traditional SaaS, reflecting strong buyer commitment and immediate value delivery.

Generative AI Certificate

A job-oriented AI Automation Testing Course certificate will help you reach your career objectives. Now is the time to obtain your certification!

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Learner Voices: Sharing Their Experiences

review icon1 review icon2 review icon3 review icon4 review icon5 (4.9) | 2.1K+ Ratings

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Ethan Murray

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(5/5)


I come from a non-technical background, but this course made Generative AI feel doable. The step-by-step approach, portfolio projects, and career guidance helped me feel job-ready.

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Albert Martinez

Albert Martinez review 5 icon0 Albert Martinez review 5 icon1 Albert Martinez review 5 icon2 Albert Martinez review 5 icon3 Albert Martinez review 5 icon4

(5/5)


The live classes, doubt-clearing support, and hands-on assignments made all the difference. I now feel confident working with LLMs, prompts, and AI tools in real projects.

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Paul Peterson

Paul Peterson review 5 icon0 Paul Peterson review 5 icon1 Paul Peterson review 5 icon2 Paul Peterson review 5 icon3 Paul Peterson review 5 icon4

(5/5)


What I liked most about this GenAI course was the focus on real-world use cases. It’s not just theory; you actually build things you can showcase in interviews and on your resume.

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Johnathon

Johnathon review 5 icon0 Johnathon review 5 icon1 Johnathon review 5 icon2 Johnathon review 5 icon3 Johnathon review 5 icon4

(5/5)


The combination of training, resume assistance, and interview prep was invaluable. This course gave me both the skills and the confidence to apply for Generative AI roles.

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Jameel

Jameel review 5 icon0 Jameel review 5 icon1 Jameel review 5 icon2 Jameel review 5 icon3 Jameel review 5 icon4

(5/5)


I had zero AI experience before this course; I didn't even know about prompt engineering. But the instructors started from scratch and never lost me. Whenever I was stuck, I asked questions without hesitation because th...
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Career Services By JanBask Training

Generative AI Training Career Path

1

Course Completion

After finishing the course, you will be eligible to receive a Generative AI certification. Earning this will reflect to employers that you have the essential knowledge and skills to work with AI models, prompt engineering, and practical applications.

2

Build a Portfolio

During the course, you'll work on hands-on projects involving LLMs, AI agents, and industry use cases. A strong portfolio demonstrates your practical ability to build and deploy AI solutions to potential employers.

3

Job Preparation

We help you develop an optimized resume that highlights your Generative AI knowledge, skills, and project successes. Apart from this, we will also help you with interview preparation so you can gain confidence.

4

Job Search

The roles of AI Engineer, ML Engineer, and Prompt Engineer should be your first priorities when seeking a job. Find opportunities by utilizing job platforms, AI-focused job boards, LinkedIn, and professional networks.

5

Job Applications

Apply for Generative AI jobs that are a good fit for your experience and goals by customizing your cover letter and applications. We guide you throughout the application process to maximize your success.

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